{"id":"W7097518991","doi":"","title":"LSAT performance with regional, gender, and racial/ethnic breakdowns: 2003–2004 through 2009–2010 (LSAT","year":2010,"lang":"en","type":"article","venue":"","topic":"Occupational and Professional Licensing Regulation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Corporation; Corporate law; Process (computing); Work (physics); Commercial law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001137224,0.000491389,0.0004973825,0.003192582,0.0008476611,0.001722094,0.001599132,0.0008085739,0.01149657],"category_scores_gemma":[0.003417744,0.0003541249,0.000993405,0.004784639,0.0005209476,0.001948773,0.002074939,0.0009637553,0.008054792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001986552,"about_ca_system_score_gemma":0.002258105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2835004,"about_ca_topic_score_gemma":0.3597108,"domain_scores_codex":[0.9991515,0.00008579593,0.0001052206,0.0001785358,0.0002025982,0.0002763986],"domain_scores_gemma":[0.9939216,0.0002692974,0.002373337,0.0002303196,0.002313553,0.00089183],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003651433,0.0001807989,0.8807092,0.0001120061,0.0002080826,0.0001019788,0.001067476,0.001095754,0.0002466714,0.0008027616,0.1029753,0.01213473],"study_design_scores_gemma":[0.000009414617,0.00007813948,0.9847734,0.00003587277,0.00003751051,0.00007014906,0.0007480386,0.0004476041,0.0001719634,0.00005401564,0.01355725,0.0000165804],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7681646,0.0005621864,0.000522571,0.001405178,0.000214833,0.00006755716,0.2116234,0.0005642479,0.01687536],"genre_scores_gemma":[0.7986947,0.0003980667,0.0003293206,0.0003399847,0.0001069702,0.0001092467,0.1619001,0.0001815138,0.03794011],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2835004,"threshold_uncertainty_score":0.5637006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0703401119299537,"score_gpt":0.2590067245947717,"score_spread":0.188666612664818,"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."}}