Search results for 'Category Errors' (try it on Scholar)

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  1. Walter J. Freeman (1997). Three Centuries of Category Errors in Studies of the Neural Basis of Consciousness and Intentionality. Neural Networks 10:1175-83.score: 45.0
  2. Alfred I. Tauber (1999). The Elusive Immune Self: A Case of Category Errors. Perspectives in Biology and Medicine 42 (4):459-474.score: 45.0
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  3. Phebe Cramer & Morris Eagle (1972). Relationship Between Conditions of CRS Presentation and the Category of False Recognition Errors. Journal of Experimental Psychology 94 (1):1.score: 38.0
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  4. Mark R. Blair, Marcus R. Watson & Kimberly M. Meier (2009). Errors, Efficiency, and the Interplay Between Attention and Category Learning. Cognition 112 (2):330-336.score: 36.0
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  5. Manuel de Pinedo-Garcia & Jason Noble (2008). Beyond Persons: Extending the Personal/Subpersonal Distinction to Non-Rational Animals and Artificial Agents. Biology and Philosophy 23 (1):87-100.score: 30.0
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  6. Lawrence Karlin (1951). The Influence of Equality Judgments on the Constant Error. Journal of Experimental Psychology 42 (5):300.score: 27.0
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  7. Aliza J. Schwartz, Aysecan Boduroglu & Angela H. Gutchess (2014). Cross‐Cultural Differences in Categorical Memory Errors. Cognitive Science 38 (5):997-1007.score: 27.0
    Cultural differences occur in the use of categories to aid accurate recall of information. This study investigated whether culture also contributed to false (erroneous) memories, and extended cross-cultural memory research to Turkish culture, which is shaped by Eastern and Western influences. Americans and Turks viewed word pairs, half of which were categorically related and half unrelated. Participants then attempted to recall the second word from the pair in response to the first word cue. Responses were coded as correct, as blanks, (...)
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  8. E. Rae Harcum & Edwin W. Coppage (1969). Explanation of Serial Learning Errors Within Deese-Kresse Categories. Journal of Experimental Psychology 81 (3):489.score: 24.0
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  9. G. Patarroyo (2009). Libertarismo & error categorial. Ideas y Valores 58 (141):141-168.score: 24.0
    En este artículo se ofrece una defensa del libertarismo frente a dos acusaciones según las cuales éste comete un error categorial. Para ello, se utiliza la filosofía de Gilbert Ryle como herramienta para explicar las razones que fundamentan estas acusaciones y para mostrar por qué, pese a que cierta..
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  10. Tobin Nellhaus (2013). The Necessity of Errors. Journal of Critical Realism 12 (1):129 - 135.score: 21.0
    The Necessity of Errors Content Type Journal Article Category Review Pages 129-135 Authors Tobin Nellhaus Journal Journal of Critical Realism Online ISSN 1572-5138 Print ISSN 1476-7430 Journal Volume Volume 12 Journal Issue Volume 12, Number 1 / 2013.
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  11. Donald Perlis (1983). Whose Category Error? Behavioral and Brain Sciences 6 (4):606.score: 21.0
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  12. Steve Awodey (2010). Category Theory. OUP Oxford.score: 21.0
    Category theory is a branch of abstract algebra with incredibly diverse applications. This text and reference book is aimed not only at mathematicians, but also researchers and students of computer science, logic, linguistics, cognitive science, philosophy, and any of the other fields in which the ideas are being applied. Containing clear definitions of the essential concepts, illuminated with numerous accessible examples, and providing full proofs of all important propositions and theorems, this book aims to make the basic ideas, theorems, (...)
     
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  13. Jonathan Bain (2013). Category-Theoretic Structure and Radical Ontic Structural Realism. Synthese 190 (9):1621-1635.score: 18.0
    Radical Ontic Structural Realism (ROSR) claims that structure exists independently of objects that may instantiate it. Critics of ROSR contend that this claim is conceptually incoherent, insofar as, (i) it entails there can be relations without relata, and (ii) there is a conceptual dependence between relations and relata. In this essay I suggest that (ii) is motivated by a set-theoretic formulation of structure, and that adopting a category-theoretic formulation may provide ROSR with more support. In particular, I consider how (...)
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  14. Jan Westerhoff (2002). Defining 'Ontological Category'. Proceedings of the Aristotelian Society 102 (3):287–293.score: 18.0
    Although a considerable degree of precision has been introduced both into the formulation and the discussion of ontological theories by the use of formal methods there is still a remarkable indefiniteness about foundational issues. In particular it is not clear what an ontological category is and why we regard something as an ontological category. This is amazing given that the notion of ontological category is in fact the most basic of the whole of ontology: it is what (...)
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  15. Ofra Magidor (2009). Category Mistakes Are Meaningful. Linguistics and Philosophy 32 (6):553-581.score: 18.0
    Category mistakes are sentences such as ‘Colourless green ideas sleep furiously’ or ‘The theory of relativity is eating breakfast’. Such sentences are highly anomalous, and this has led a large number of linguists and philosophers to conclude that they are meaningless (call this ‘the meaninglessness view’). In this paper I argue that the meaninglessness view is incorrect and category mistakes are meaningful. I provide four arguments against the meaninglessness view: in Sect. 2, an argument concerning compositionality with respect (...)
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  16. Michael John Healy & Thomas Preston Caudell (2006). Ontologies and Worlds in Category Theory: Implications for Neural Systems. [REVIEW] Axiomathes 16 (1-2):165-214.score: 18.0
    We propose category theory, the mathematical theory of structure, as a vehicle for defining ontologies in an unambiguous language with analytical and constructive features. Specifically, we apply categorical logic and model theory, based upon viewing an ontology as a sub-category of a category of theories expressed in a formal logic. In addition to providing mathematical rigor, this approach has several advantages. It allows the incremental analysis of ontologies by basing them in an interconnected hierarchy of theories, with (...)
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  17. C. J. Isham (2005). Quantising on a Category. Foundations of Physics 35 (2):271-297.score: 18.0
    We review the problem of finding a general framework within which one can construct quantum theories of non-standard models for space, or space-time. The starting point is the observation that entities of this type can typically be regarded as objects in a category whose arrows are structure-preserving maps. This motivates investigating the general problem of quantising a system whose ‘configuration space’ (or history-theory analogue) is the set of objects Ob(Q) in a category Q. We develop a scheme based (...)
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  18. Glyn W. Humphreys & Emer M. E. Forde (2001). Hierarchies, Similarity, and Interactivity in Object Recognition: “Category-Specific” Neuropsychological Deficits. Behavioral and Brain Sciences 24 (3):453-476.score: 18.0
    Category-specific impairments of object recognition and naming are among the most intriguing disorders in neuropsychology, affecting the retrieval of knowledge about either living or nonliving things. They can give us insight into the nature of our representations of objects: Have we evolved different neural systems for recognizing different categories of object? What kinds of knowledge are important for recognizing particular objects? How does visual similarity within a category influence object recognition and representation? What is the nature of (...)
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  19. Joseph J. Williams & Tania Lombrozo (2010). The Role of Explanation in Discovery and Generalization: Evidence From Category Learning. Cognitive Science 34 (5):776-806.score: 18.0
    Research in education and cognitive development suggests that explaining plays a key role in learning and generalization: When learners provide explanations—even to themselves—they learn more effectively and generalize more readily to novel situations. This paper proposes and tests a subsumptive constraints account of this effect. Motivated by philosophical theories of explanation, this account predicts that explaining guides learners to interpret what they are learning in terms of unifying patterns or regularities, which promotes the discovery of broad generalizations. Three experiments provide (...)
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  20. Giuseppe Primiero (forthcoming). A Taxonomy of Errors for Information Systems. Minds and Machines:1-25.score: 18.0
    We provide a full characterization of computational error states for information systems. The class of errors considered is general enough to include human rational processes, logical reasoning, scientific progress and data processing in some functional programming languages. The aim is to reach a full taxonomy of error states by analysing the recovery and processing of data. We conclude by presenting machine-readable checking and resolve algorithms.
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  21. Arnon Avron & Beata Konikowska (2009). Proof Systems for Reasoning About Computation Errors. Studia Logica 91 (2):273 - 293.score: 18.0
    In the paper we examine the use of non-classical truth values for dealing with computation errors in program specification and validation. In that context, 3-valued McCarthy logic is suitable for handling lazy sequential computation, while 3-valued Kleene logic can be used for reasoning about parallel computation. If we want to be able to deal with both strategies without distinguishing between them, we combine Kleene and McCarthy logics into a logic based on a non-deterministic, 3-valued matrix, incorporating both (...)
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  22. Jonathan R. Folstein, Isabel Gauthier & Thomas J. Palmeri (2010). Mere Exposure Alters Category Learning of Novel Objects. Frontiers in Psychology 1:40-40.score: 18.0
    We investigated how mere exposure to complex objects with correlated or uncorrelated object features affects later category learning of new objects not seen during exposure. Correlations among pre-exposed object dimensions influenced later category learning. Unlike other published studies, the collection of pre-exposed objects provided no information regarding the categories to be learned, ruling out unsupervised or incidental category learning during pre-exposure. Instead, results are interpreted with respect to statistical learning mechanisms, providing one of the first demonstrations of (...)
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  23. John Voiklis & James E. Corter (2012). Conventional Wisdom: Negotiating Conventions of Reference Enhances Category Learning. Cognitive Science 36 (4):607-634.score: 18.0
    Collaborators generally coordinate their activities through communication, during which they readily negotiate a shared lexicon for activity-related objects. This social-pragmatic activity both recruits and affects cognitive and social-cognitive processes ranging from selective attention to perspective taking. We ask whether negotiating reference also facilitates category learning or might private verbalization yield comparable facilitation? Participants in three referential conditions learned to classify imaginary creatures according to combinations of functional features—nutritive and destructive—that implicitly defined four categories. Remote partners communicated in the Dialogue (...)
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  24. Miguel A. García-Pérez & Rocío Alcalá-Quintana (2012). Response Errors Explain the Failure of Independent-Channels Models of Perception of Temporal Order. Frontiers in Psychology 3.score: 18.0
    Independent-channels models of perception of temporal order (also referred to as threshold models or perceptual latency models) have been ruled out because two formal properties of these models (monotonicity and parallelism) are not borne out by data from ternary tasks in which observers must judge whether stimulus A was presented before, after, or simultaneously with stimulus B. These models generally assume that observed responses are authentic indicators of unobservable judgments, but blinks, lapses of attention, or errors in pressing the (...)
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  25. Ulfert Gronewold, Anna Gold & Steven E. Salterio (2013). Reporting Self-Made Errors: The Impact of Organizational Error-Management Climate and Error Type. [REVIEW] Journal of Business Ethics 117 (1):189-208.score: 18.0
    We study how an organization’s error-management climate affects organizational members’ beliefs about other members’ willingness to report errors that they discover when chance of error detection by superiors and others is extremely low. An error-management climate, as a component of the organizational climate, is said to be “high” when errors are accepted as part of everyday life as long as they are learned from and not repeated. Alternatively, the error-management climate is said to be an “error averse” climate (...)
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  26. Alessandro Stavru (2014). CORNELLI, G. (2013). In Search of Pythagoreanism. Pythagoreanism as an Historiographical Category, “Studia Praesocratica” 4, de Gruyter, Berlin. [REVIEW] Archai: Revista de Estudos Sobre as Origens Do Pensamento Ocidental 13 (13):171-173.score: 18.0
    CORNELLI, G. (2013). In Search of Pythagoreanism. Pythagoreanism as an Historiographical Category, “Studia Praesocratica” 4, de Gruyter, Berlin.
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  27. Douglas Walton & Thomas F. Gordon (2009). Jumping to a Conclusion: Fallacies and Standards of Proof. Informal Logic 29 (2):215-243.score: 18.0
    Five errors that fit under the category of jumping to a conclusion are identified: (1) arguing from premises that are insufficient as evidence to prove a conclusion (2) fallacious argument from ignorance, (3) arguing to a wrong conclusion, (4) using defeasible reasoning without being open to exceptions, and (5) overlooking/suppressing evidence. It is shown that jumping to a conclusion is best seen not as a fallacy itself, but as a more general category of faulty argumentation pattern underlying (...)
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  28. Rocío Alcalá-Quintana Miguel A. García-Pérez (2012). Response Errors Explain the Failure of Independent-Channels Models of Perception of Temporal Order. Frontiers in Psychology 3.score: 18.0
    Independent-channels models of perception of temporal order (also referred to as threshold models or perceptual latency models) have been ruled out because two formal properties of these models (monotonicity and parallelism) are not borne out by data from ternary tasks in which observers must judge whether stimulus A was presented before, after, or simultaneously with stimulus B. These models generally assume that observed responses are authentic indicators of unobservable judgments, but blinks, lapses of attention, or errors in pressing the (...)
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  29. Martha Spilioti, Athanasios Evangeliou, Despoina Tramma, Zoe Theodoridou, Spyridon Metaxas, Eleni Michailidi, Eleni Bonti, Helen Frysira, Katerina Haidopoulou & Despoina Asprangathou (2013). Evidence for Treatable Inborn Errors of Metabolism in a Cohort of 187 Greek Patients with Autism Spectrum Disorder (ASD). Frontiers in Human Neuroscience 7:858.score: 18.0
    We screened for the presence of inborn errors of metabolism (IEM) in 187 children (105 males; 82 females, ages 4 -14 years old) who presented with confirmed features of ASD. Twelve patients (7%) manifested increased 3-hydroxyisovaleric acid (3-OH-IVA) excretion in urine, and minor to significant improvement in autistic features was observed in seven patients following supplementation with biotin. Five diagnoses included: Lesch Nyhan syndrome (2), succinic semialdehyde dehydrogenase (SSADH) deficiency (2) and phenylketonuria (1) (2.7%). Additional metabolic disturbances suggestive of (...)
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  30. Juan R. Vidal, Tomás Ossandón, Karim Jerbi, Sarang S. Dalal, Lorella Minotti, Philippe Ryvlin, Philippe Kahane & Jean-Philippe Lachaux (2010). Category-Specific Visual Responses: An Intracranial Study Comparing Gamma, Beta, Alpha, and ERP Response Selectivity. Frontiers in Human Neuroscience 4.score: 18.0
    The specificity of neural responses to visual objects is a major topic in visual neuroscience. In humans, functional magnetic resonance imaging (fMRI) studies have identified several regions of the occipital and temporal lobe that appear specific to faces, letter-strings, scenes, or tools. Direct electrophysiological recordings in the visual cortical areas of epileptic patients have largely confirmed this modular organization, using either single-neuron peri-stimulus time-histogram or intracerebral event-related potentials (iERP). In parallel, a new research stream has emerged using high-frequency gamma-band activity (...)
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  31. Terry Horgan & Matjaž Potrč (2013). Epistemological Skepticism, Semantic Blindness, and Competence-Based Performance Errors. Acta Analytica 28 (2):161-177.score: 16.0
    The semantic blindness objection to contextualism challenges the view that there is no incompatibility between (i) denials of external-world knowledge in contexts where radical-deception scenarios are salient, and (ii) affirmations of external-world knowledge in contexts where such scenarios are not salient. Contextualism allegedly attributes a gross and implausible form of semantic incompetence in the use of the concept of knowledge to people who are otherwise quite competent in its use; this blindness supposedly consists in wrongly judging that there is genuine (...)
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  32. Albert Hofstadter (1951). Professor Ryle's Category-Mistake. Journal of Philosophy 48 (April):257-269.score: 15.0
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  33. Hans Muller & Bana Bashour (2011). Why Alief is Not a Legitimate Psychological Category. Journal of Philosophical Research 36:371-389.score: 15.0
    We defend the view that belief is a psychological category against a recent attempt to recast it as a normative one. Tamar Gendler has argued that to properly understand how beliefs function in the regulation and production of action, we need to contrast beliefs with a class of psychological states and processes she calls “aliefs.” We agree with Gendler that affective states as well as habits and instincts deserve more attention than they receive in the contemporary philosophical psychology literature. (...)
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  34. Michael Carrithers, Steven Collins & Steven Lukes (eds.) (1985). The Category of the Person: Anthropology, Philosophy, History. Cambridge University Press.score: 15.0
    The concept that peope have of themselves as a 'person' is one of the most intimate notions that they hold. Yet the way in which the category of the person is conceived varies over time and space. In this volume, anthropologists, philosophers, and historians examine the notion of the person in different cultures, past and present. Taking as their starting point a lecture on the person as a category of the human mind, given by Marcel Mauss in 1938, (...)
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  35. Regina Pally (2005). Non-Conscious Prediction and a Role for Consciousness in Correcting Prediction Errors. Cortex. Special Issue 41 (5):643-662.score: 15.0
  36. Zsófia Zvolenszky, Abstract Artifact Theory About Fictional Characters Defended — Why Sainsbury’s Category-Mistake Objection is Mistaken. Proceedings of the European Society for Aesthetics Vol. 5/2013.score: 15.0
    In this paper, I explore a line of argument against one form of realism about fictional characters: abstract artifact theory (‘artifactualism’, for short), the view according to which fictional characters like Harry Potter are part of our reality, but (unlike concrete entities like the Big Ben and J. K. Rowling), they are abstract objects created by humans, akin to the institution of marriage and the game of soccer. I will defend artifactualism against an objection that Mark Sainsbury (2010) considers decisive (...)
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  37. Arezoo Aghaei Chadegani & Zakiah Muhammaddun Mohamed (forthcoming). Reporting Errors and Misstatements: A Measurement for the Quality of Auditors' Work. Asian Journal of Business Ethics.score: 15.0
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  38. Nicolai Hartmann & Keith R. Peterson (2012). How Is Critical Ontology Possible? Toward the Foundation of the General Theory of the Categories, Part One (1923). Axiomathes 22 (3):315-354.score: 15.0
    This is a translation of an early essay by the German philosopher Nicolai Hartmann (1882–1950). In this 1923 essay Hartmann presents many of the fundamental ideas of his new critical ontology. He summarizes some of the main points of his critique of neo-Kantian epistemology, and provides the point of departure for his new approach in an extensive criticism of the errors of the classical ontological tradition. Some of these errors concern the definition of an ontological category or (...)
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  39. J. P. Guilford & A. P. Jorgensen (1938). Some Constant Errors in Ratings. Journal of Experimental Psychology 22 (1):43.score: 15.0
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  40. Sílvia Mamede, Henk G. Schmidt & Remy Rikers (2007). Diagnostic Errors and Reflective Practice in Medicine. Journal of Evaluation in Clinical Practice 13 (1):138-145.score: 15.0
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  41. Ernst Z. Rothkopf (1957). A Measure of Stimulus Similarity and Errors in Some Paired-Associate Learning Tasks. Journal of Experimental Psychology 53 (2):94.score: 15.0
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  42. P. M. Rabbitt (1966). Errors and Error Correction in Choice-Response Tasks. Journal of Experimental Psychology 71 (2):264.score: 15.0
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  43. John Ross & Vincent Di Lollo (1968). Category Scales and Contrast Effects with Lifted Weights. Journal of Experimental Psychology 78 (4p1):547.score: 15.0
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  44. William F. Battig & William E. Montague (1969). Category Norms of Verbal Items in 56 Categories A Replication and Extension of the Connecticut Category Norms. Journal of Experimental Psychology 80 (3p2):1.score: 15.0
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  45. Marilyn A. Borges & George Mangler (1972). Effect of Within-Category Spacing on Free Recall. Journal of Experimental Psychology 92 (2):207.score: 15.0
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  46. W. J. Brogden & Robert E. Schmidt (1954). Effect of Number of Choices Per Unit of a Verbal Maze on Learning and Serial Position Errors. Journal of Experimental Psychology 47 (4):235.score: 15.0
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  47. James L. Fozard, Judith R. Myers & Nancy C. Waugh (1971). Recalling Recent Exemplars of a Category. Journal of Experimental Psychology 90 (2):262.score: 15.0
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  48. Jonathan L. Freedman & Elizabeth F. Loftus (1974). Retrieval of Words From Well-Learned Sets: The Effect of Category Size. Journal of Experimental Psychology 102 (6):1085.score: 15.0
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  49. D. O. Hebb & E. N. Foord (1945). Errors of Visual Recognition and the Nature of the Trace. Journal of Experimental Psychology 35 (5):335.score: 15.0
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  50. Douglas E. Hill (2004). Errors of Judgment and Reporting in a Law Merchant System. Theory and Decision 56 (3):239-267.score: 15.0
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