{"id":"W4280622281","doi":"10.1017/s0140525x21000728","title":"Social bias insights concern judgments rather than real-world decisions","year":2022,"lang":"en","type":"letter","venue":"Behavioral and Brain Sciences","topic":"Social and Intergroup Psychology","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Psychology; Control (management); Social psychology; Representation (politics); Cognitive psychology; Computer science; Politics; Political science; Artificial intelligence","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":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.001035898,0.0003263021,0.0004788612,0.0003436985,0.004547313,0.0004300359,0.001040054,0.0005053467,0.002724949],"category_scores_gemma":[0.00009690446,0.0002671851,0.0002334963,0.001136381,0.003615755,0.0003343529,0.0003093528,0.001025503,0.00005513248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001690669,"about_ca_system_score_gemma":0.0003697022,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0146146,"about_ca_topic_score_gemma":0.01233995,"domain_scores_codex":[0.9956427,0.0009034602,0.0004184296,0.0008792786,0.001373426,0.0007826863],"domain_scores_gemma":[0.9987304,0.0005704447,0.0003157469,0.000171343,0.00007820466,0.0001338462],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009712966,0.00007189823,0.0047977,0.000002110286,0.00001067587,0.00007989094,0.01529801,3.175376e-8,0.00002771261,0.002622631,0.9704579,0.006621706],"study_design_scores_gemma":[0.0001918734,0.0002257124,0.005833279,0.00002078766,0.00003542482,0.000001983686,0.006027208,4.454391e-7,0.000003509823,0.006039001,0.9812268,0.0003939648],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.3061188,0.0002142519,0.000001694289,0.6065472,0.003162948,0.0004931447,0.00007404142,0.0001474654,0.08324044],"genre_scores_gemma":[0.2910865,0.0004959629,0.0001041034,0.5586703,0.01171307,0.0002701407,0.0001520733,0.00007104177,0.1374368],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.05419638,"threshold_uncertainty_score":0.999978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3201950358216258,"score_gpt":0.4561396245605008,"score_spread":0.1359445887388749,"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."}}