{"id":"W4254456953","doi":"10.3138/9781442689473","title":"The Transformation of the Supreme Court of Canada","year":2009,"lang":"en","type":"book","venue":"University of Toronto Press eBooks","topic":"Judicial and Constitutional Studies","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Supreme court; Transformation (genetics); Law; Political science; Biology; Genetics","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":[0.001209405,0.000282449,0.000302285,0.002232565,0.0214335,0.01084671,0.001514856,0.002103338,0.005116117],"category_scores_gemma":[0.006258679,0.0003157134,0.0002813347,0.004886479,0.01445599,0.001902412,0.002110462,0.004724955,0.0004967038],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.2178165,"about_ca_system_score_gemma":0.2205384,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9939283,"about_ca_topic_score_gemma":0.9960694,"domain_scores_codex":[0.9936461,0.0005192686,0.00007154561,0.0005600218,0.003396496,0.001806513],"domain_scores_gemma":[0.9968491,0.000467728,0.0001057441,0.0001043357,0.001767481,0.0007054618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001867098,0.00001362111,0.001992507,0.00004329143,0.00001002383,0.0002972051,0.01299688,0.0005577244,0.0002378176,0.7972286,0.1421372,0.04446646],"study_design_scores_gemma":[0.000008461954,0.00001051562,0.01104943,0.000190462,0.00001122832,0.0001153339,0.006243624,0.0005363292,0.0001872484,0.02837987,0.9532075,0.00006011299],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.04718504,0.03243965,0.001028802,0.07246201,0.001780802,0.00007081016,0.0007760142,0.0001030443,0.8441538],"genre_scores_gemma":[0.7880546,0.01406201,0.001023518,0.01292112,0.0004151007,0.00003459639,0.0003709256,0.00009062669,0.1830275],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2178165,"threshold_uncertainty_score":0.907222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01558369263623724,"score_gpt":0.2028333475606339,"score_spread":0.1872496549243966,"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."}}