{"id":"W1991848957","doi":"10.1080/13546783.2015.1016450","title":"Better but still biased: Analytic cognitive style and belief bias","year":2015,"lang":"en","type":"article","venue":"Thinking & Reasoning","topic":"Decision-Making and Behavioral Economics","field":"Decision Sciences","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Psychology; Cognitive bias; Cognition; Analytic reasoning; Cognitive style; Cognitive psychology; Heuristic; Confirmation bias; Style (visual arts); Debiasing; Response bias; Deductive reasoning; Social psychology; Artificial intelligence; Computer science","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00551394,0.0002680539,0.000514338,0.0004198382,0.0002833102,0.001170526,0.000613771,0.0001488261,0.0001507562],"category_scores_gemma":[0.008271814,0.000209039,0.0001246656,0.0005707782,0.0001865796,0.0006109072,0.0004046506,0.0003520995,0.0006439912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008951496,"about_ca_system_score_gemma":0.000118741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002721975,"about_ca_topic_score_gemma":0.00006096819,"domain_scores_codex":[0.9966119,0.0002287738,0.0007001753,0.000799039,0.001217759,0.0004423546],"domain_scores_gemma":[0.99574,0.002481089,0.0004307884,0.0005392513,0.0004562299,0.0003526615],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001133441,0.00009399557,0.1270364,0.000003062935,0.00004393996,0.0001665584,0.007742201,0.0001706602,0.00005520687,0.0004612225,0.003302041,0.8608114],"study_design_scores_gemma":[0.008433911,0.001649367,0.1604509,0.002841061,0.0008108875,0.0008798873,0.04493348,0.06788896,0.001588789,0.6615866,0.04514079,0.003795297],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926209,0.0003122019,0.001677502,0.0003598164,0.0004726425,0.0001369837,0.00002742638,0.0001186177,0.004273877],"genre_scores_gemma":[0.992154,0.000008390857,0.00583203,0.0009602394,0.0001899706,0.000005302617,0.000008936955,0.00003087015,0.0008102427],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8570161,"threshold_uncertainty_score":0.9998664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2192763807575581,"score_gpt":0.3909617875035358,"score_spread":0.1716854067459776,"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."}}