{"id":"W2110221353","doi":"10.3138/utlj.2167","title":"Panel selection on high courts","year":2015,"lang":"en","type":"article","venue":"University of Toronto Law Journal","topic":"Judicial and Constitutional Studies","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Appeal; Supreme court; Panel data; Allocative efficiency; Political science; Law; Economics; Microeconomics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.008838821,0.0002762027,0.0008524672,0.00116745,0.00248501,0.003543047,0.001524762,0.001837809,0.02499524],"category_scores_gemma":[0.05379765,0.0003538195,0.000674944,0.002383634,0.004053235,0.00222681,0.002499034,0.002575234,0.001748842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009075924,"about_ca_system_score_gemma":0.004395622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1264478,"about_ca_topic_score_gemma":0.1814588,"domain_scores_codex":[0.9854547,0.006182678,0.0003411753,0.00206367,0.002531681,0.003426161],"domain_scores_gemma":[0.9486122,0.03023395,0.009121404,0.004623106,0.003938376,0.003471015],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008350322,0.0003013668,0.5127907,0.0002578814,0.0003254859,0.001189676,0.004866433,0.06037172,0.001471364,0.268411,0.03030064,0.1188788],"study_design_scores_gemma":[0.0001883931,0.0003537424,0.7303154,0.0003572123,0.0002191288,0.0002700589,0.005504995,0.04268606,0.001598634,0.16693,0.05141994,0.000156384],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7938952,0.00156887,0.02251477,0.007654791,0.0001263997,0.0003315443,0.003978112,0.0001628961,0.1697674],"genre_scores_gemma":[0.9898626,0.0002393728,0.0009980565,0.0004754392,0.00005567052,0.00006383101,0.0004527447,0.00001875667,0.007833473],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1264478,"threshold_uncertainty_score":0.2514236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04291580922159556,"score_gpt":0.2478318461141811,"score_spread":0.2049160368925855,"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."}}