{"id":"W2049700461","doi":"10.1002/wcs.1185","title":"The cognitive science of fiction","year":2012,"lang":"en","type":"article","venue":"Wiley Interdisciplinary Reviews Cognitive Science","topic":"Aesthetic Perception and Analysis","field":"Neuroscience","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Empathy; Persuasion; Reading (process); Fiction theory; Quality (philosophy); Psychology; Narrative; Literary fiction; Cognitive psychology; Cognition; Inference; Literary criticism; Social psychology; Literature; Art; Linguistics; Epistemology; Philosophy","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.004713785,0.0002518053,0.0003596452,0.0003616145,0.002728167,0.0001656589,0.001137069,0.00003673538,0.0002308313],"category_scores_gemma":[0.004071745,0.0001562168,0.0002305171,0.003945967,0.01136988,0.001816619,0.001239511,0.000267823,0.0006592036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00011937,"about_ca_system_score_gemma":0.0002183369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002175215,"about_ca_topic_score_gemma":0.000001675787,"domain_scores_codex":[0.9963416,0.0003186018,0.0006560648,0.0007257344,0.001096992,0.0008610026],"domain_scores_gemma":[0.9979083,0.0003269153,0.0004920074,0.0004084923,0.0005128523,0.0003514466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001121719,0.0004852395,0.001879196,0.00004365227,0.000004320537,0.000003694078,0.008614824,0.000001509483,0.5224733,0.003266566,0.0006389912,0.4624766],"study_design_scores_gemma":[0.002048133,0.001757302,0.06321045,0.007367812,0.0006266084,0.0007947027,0.04516868,0.00554748,0.8501201,0.003634452,0.01718965,0.002534689],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9101865,0.00395976,0.005686471,0.0007097623,0.001339584,0.001308014,0.00004827087,0.00009221239,0.07666938],"genre_scores_gemma":[0.9961417,0.002809501,0.0000641426,0.0003447298,0.0001051862,0.00008348139,0.000001608079,0.00001113599,0.000438543],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4599419,"threshold_uncertainty_score":0.9985701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06708105370015696,"score_gpt":0.3872191503275288,"score_spread":0.3201380966273719,"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."}}