{"id":"W4410105204","doi":"10.1016/j.cognition.2025.106166","title":"Who benefits from debiasing?","year":2025,"lang":"en","type":"article","venue":"Cognition","topic":"Decision-Making and Behavioral Economics","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"Social Sciences and Humanities Research Council of Canada; Fondation Fyssen","keywords":"Debiasing; Psychology; Cognitive psychology; Social psychology","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005311684,0.00008777526,0.0001796546,0.0002281313,0.0001478623,0.0003615968,0.0003211961,0.00008919297,0.0006954018],"category_scores_gemma":[0.001375833,0.00007314709,0.00008678089,0.0004137091,0.00004350616,0.0002457463,0.00009427054,0.00008739711,0.001633821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002755113,"about_ca_system_score_gemma":0.00004339002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001733965,"about_ca_topic_score_gemma":0.00006505462,"domain_scores_codex":[0.9987432,0.00005303968,0.0003923281,0.00037644,0.0003071038,0.0001278857],"domain_scores_gemma":[0.9983417,0.0009174907,0.0001079753,0.0003382648,0.0002460021,0.00004855431],"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":[0.00001853855,0.00003180383,0.002426898,3.279662e-7,0.000004094796,0.000002287411,0.00003680136,0.0000195365,0.0001819694,0.0003622826,0.009793521,0.9871219],"study_design_scores_gemma":[0.0004870987,0.00002710885,0.07082286,0.0001561551,0.00004583019,0.000001769216,0.0002899021,0.001145744,0.00444318,0.8781483,0.04425661,0.0001755101],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.948439,0.0001797695,0.003044921,0.0005221911,0.0007675792,0.00007222681,0.00006686322,0.00004901617,0.04685845],"genre_scores_gemma":[0.9972407,0.00001481182,0.0005913374,0.0009615005,0.00006124202,0.000005529145,0.00002360654,0.000005154825,0.001096143],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9869464,"threshold_uncertainty_score":0.9991435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1522446181558466,"score_gpt":0.4132383597284898,"score_spread":0.2609937415726432,"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."}}