{"id":"W4392043786","doi":"10.1037/rev0000470","title":"Prejudice model 1.0: A predictive model of prejudice.","year":2024,"lang":"en","type":"article","venue":"Psychological Review","topic":"Social and Intergroup Psychology","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; McGill University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Prejudice (legal term); Psychology; Generalizability theory; PsycINFO; Social psychology; Sample (material); Field (mathematics); Predictive power; Predictive validity; Test (biology); Cognitive psychology; Developmental psychology; Epistemology; MEDLINE","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":[],"consensus_categories":[],"category_scores_codex":[0.001227651,0.0001729654,0.0004799769,0.00005558157,0.0001290552,0.00002808226,0.0005295289,0.0002409172,0.0007736524],"category_scores_gemma":[0.0006393893,0.0001317382,0.0003160284,0.000581004,0.0005595071,0.0001897241,0.00006250918,0.0003483555,0.0002267286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006340625,"about_ca_system_score_gemma":0.00008870559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004193329,"about_ca_topic_score_gemma":0.00001509351,"domain_scores_codex":[0.9978009,0.0003109059,0.0005135373,0.000546017,0.0004276087,0.0004009932],"domain_scores_gemma":[0.9990867,0.0002101175,0.0001106015,0.0002889173,0.0001295968,0.0001740981],"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":[0.0001399405,0.0009187122,0.0001128719,0.001970587,0.0002099371,0.00001890695,0.007953816,0.0002453701,0.0007004263,0.5149955,0.3028104,0.1699236],"study_design_scores_gemma":[0.0006692328,0.001173807,0.0008512005,0.01227754,0.000620883,0.00001536878,0.0006529226,0.06998029,0.00002535758,0.6132388,0.2993786,0.001116014],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.006926411,0.1914003,0.03009073,0.01411916,0.001037569,0.001385591,0.00007347134,0.0005212608,0.7544456],"genre_scores_gemma":[0.754968,0.233255,0.00147353,0.006215647,0.0002825884,0.0002438423,0.00000633987,0.00002357705,0.003531431],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7509141,"threshold_uncertainty_score":0.8470951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1394054860083571,"score_gpt":0.4653152708632476,"score_spread":0.3259097848548905,"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."}}