{"id":"W2524837122","doi":"10.1037/lhb0000219","title":"Fair lineups are better than biased lineups and showups, but not because they increase underlying discriminability.","year":2016,"lang":"en","type":"article","venue":"Law and Human Behavior","topic":"Decision-Making and Behavioral Economics","field":"Decision Sciences","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Psychology; Receiver operating characteristic; Cognitive psychology; Response bias; Social psychology; Statistics; Mathematics","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":[0.01729496,0.000995339,0.001196908,0.002228617,0.0007516637,0.003327828,0.0006877797,0.002077754,0.01518971],"category_scores_gemma":[0.1346758,0.0003170502,0.001201252,0.001451439,0.003051626,0.006158167,0.002887932,0.001539865,0.001777964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008684166,"about_ca_system_score_gemma":0.0005288049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004064892,"about_ca_topic_score_gemma":0.0006184239,"domain_scores_codex":[0.9869933,0.006153883,0.001050164,0.00227788,0.002773546,0.0007511688],"domain_scores_gemma":[0.8921093,0.07334367,0.01454762,0.01435851,0.002937095,0.002703759],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.007129638,0.00153747,0.3208043,0.001768829,0.002630859,0.0007940658,0.003117255,0.01651018,0.02240434,0.1359309,0.01646878,0.4709035],"study_design_scores_gemma":[0.0004236718,0.006520933,0.4629451,0.0006684593,0.0008922695,0.002155375,0.002715273,0.0469919,0.02335235,0.4311584,0.02178703,0.0003891533],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8391294,0.002245321,0.08958979,0.00303796,0.0004451845,0.0005194279,0.001751422,0.001261927,0.06201954],"genre_scores_gemma":[0.9795584,0.0002808177,0.01702482,0.0006904134,0.00009035773,0.0001228112,0.0004462436,0.0001384882,0.00164763],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01729496,"threshold_uncertainty_score":0.09146559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2028252888554424,"score_gpt":0.3926239992483386,"score_spread":0.1897987103928963,"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."}}