{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003963415,0.0002864474,0.0003087973,0.0008925399,0.0002372163,0.0021755,0.0003105264,0.0006595596,0.003657969],"category_scores_gemma":[0.04900156,0.0001547622,0.0003251211,0.0005896341,0.001264932,0.001453203,0.0008794437,0.001107583,0.000372904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002883559,"about_ca_system_score_gemma":0.0002691387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000555242,"about_ca_topic_score_gemma":0.0004435221,"domain_scores_codex":[0.9982085,0.0007396562,0.0001433559,0.00026113,0.000521729,0.0001256273],"domain_scores_gemma":[0.944837,0.03788065,0.009064545,0.004210429,0.002297305,0.00171017],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001460503,0.001003994,0.8783138,0.0001971616,0.0005689549,0.0003292108,0.006758894,0.001979912,0.01172948,0.01416259,0.0006600081,0.08283534],"study_design_scores_gemma":[0.00009973892,0.0005741034,0.9422385,0.00009481786,0.0001933541,0.0007162845,0.002014555,0.005828577,0.002785104,0.04384878,0.001543824,0.00006243217],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991196,0.0003418362,0.002169854,0.0004244017,0.00002192958,0.00001149912,0.0000453925,0.0000135226,0.005775406],"genre_scores_gemma":[0.9985369,0.00009854559,0.0008407035,0.0001185417,0.00002871519,0.000007748994,0.00003017939,0.000007951616,0.0003307363],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003963415,"threshold_uncertainty_score":0.02096075,"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."}}