{"id":"W2088599363","doi":"10.5860/choice.47-1667","title":"The transformation of the Supreme Court of Canada: an empirical examination","year":2009,"lang":"en","type":"article","venue":"Choice Reviews Online","topic":"Judicial and Constitutional Studies","field":"Social Sciences","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Supreme court; Empirical examination; Law; Transformation (genetics); Political science; History; Economics; Actuarial science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007936364,0.00004392018,0.0001335003,0.000006873673,0.0004303867,0.000004997116,0.0001875474,0.00002183017,0.000007118684],"category_scores_gemma":[0.0005256609,0.00002258175,0.00004838292,0.0002099273,0.000198163,0.00008481204,0.000005796635,0.0000522814,3.375584e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007395021,"about_ca_system_score_gemma":0.0004298681,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.08223704,"about_ca_topic_score_gemma":0.8230081,"domain_scores_codex":[0.9990742,0.0002112737,0.0002726887,0.00005109204,0.0002962229,0.0000944773],"domain_scores_gemma":[0.9995043,0.0001082818,0.0001332902,0.00008666954,0.0001414598,0.00002601221],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001126009,0.0003249524,0.007234686,0.0000636371,0.0000253259,1.825329e-7,0.008050743,0.00002077556,0.0003424219,0.1113234,0.005302466,0.8673002],"study_design_scores_gemma":[0.000058282,0.00002179137,0.2772135,0.00007701489,0.00001957747,1.418836e-7,0.0007262875,0.00002661706,0.0000443302,0.001232597,0.7205418,0.00003809313],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7628716,0.05271445,0.0003639993,0.1221399,0.0008676096,0.002124568,0.0001153481,0.00003059753,0.05877188],"genre_scores_gemma":[0.9916175,0.007759675,0.00002705481,0.0003525291,0.0001557178,0.000003288666,0.000005328039,8.911262e-7,0.00007801555],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8672621,"threshold_uncertainty_score":0.9238744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07131800365419595,"score_gpt":0.3633848978290991,"score_spread":0.2920668941749032,"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."}}