{"id":"W79124708","doi":"10.1007/978-94-007-6110-0_10","title":"Case Classification, Similarities, Spaces of Reasons, and Coherences","year":2013,"lang":"en","type":"book-chapter","venue":"Law and philosophy library","topic":"Psychology of Moral and Emotional Judgment","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Coherence (philosophical gambling strategy); Similarity (geometry); Set (abstract data type); Normative; Artificial intelligence; Space (punctuation); Computer science; Artificial neural network; Exploit; Mathematics; Epistemology; Image (mathematics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002266964,0.0004059132,0.000593546,0.003477633,0.002166294,0.009115248,0.001385073,0.001436029,0.01112588],"category_scores_gemma":[0.009067779,0.0003093321,0.0005308115,0.003883027,0.01341499,0.01090736,0.002200529,0.002915136,0.001327166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003820674,"about_ca_system_score_gemma":0.001918875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002315302,"about_ca_topic_score_gemma":0.003655223,"domain_scores_codex":[0.9978052,0.0009730186,0.0001818021,0.0003328419,0.0005979834,0.0001092033],"domain_scores_gemma":[0.9973296,0.001689038,0.0001791398,0.0004058324,0.0002793827,0.0001170305],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000005806759,0.000008906461,0.0002643561,0.00004114616,0.000003639586,0.00003058067,0.0008555032,0.0001587858,0.00006619607,0.9589186,0.007012079,0.0326344],"study_design_scores_gemma":[0.000001894244,0.000002698704,0.0003113434,0.00006061562,0.000002575286,0.0001245883,0.0005468637,0.0004972414,0.00006487812,0.9658659,0.03251679,0.000004711621],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01935043,0.03094129,0.1550243,0.01504907,0.0007764022,0.0001746823,0.0004398385,0.0003115013,0.7779325],"genre_scores_gemma":[0.687311,0.01810695,0.1475157,0.001790292,0.00148663,0.0004663616,0.00150985,0.0003599768,0.1414533],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01112588,"threshold_uncertainty_score":0.03721982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1291098345051396,"score_gpt":0.2437443746204301,"score_spread":0.1146345401152905,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}