{"id":"W2335318655","doi":"10.1086/677057","title":"The Politics of Judicial Retirement in Canada and the United Kingdom","year":2014,"lang":"en","type":"article","venue":"Journal of Law and Courts","topic":"Judicial and Constitutional Studies","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Politics; Supreme court; Kingdom; Political science; Test (biology); Law; Mandatory retirement; Demographic economics; Economics","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":[0.00267443,0.0001017515,0.0003215711,0.001957661,0.01085421,0.004061204,0.0009293176,0.001123985,0.003557947],"category_scores_gemma":[0.01139039,0.0001749924,0.0002046079,0.002920874,0.005280077,0.0006681,0.001875488,0.001583803,0.0001716177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07860672,"about_ca_system_score_gemma":0.05673881,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9836512,"about_ca_topic_score_gemma":0.9938962,"domain_scores_codex":[0.9955783,0.0005431307,0.00008148378,0.000250623,0.000819307,0.002727022],"domain_scores_gemma":[0.9852048,0.002435571,0.001910823,0.0003527566,0.00523208,0.004863902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0006372533,0.0001168953,0.646251,0.0001416102,0.0001059375,0.00193756,0.05293509,0.003347519,0.0009270575,0.1856314,0.04598168,0.06198703],"study_design_scores_gemma":[0.00004003654,0.00004639875,0.8398798,0.0003098371,0.00004270093,0.0002318013,0.06486572,0.001634372,0.0004786597,0.003975256,0.08837617,0.0001193417],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.950536,0.002309876,0.0002114543,0.01334376,0.00007474557,0.00001858878,0.0003914795,0.00001117009,0.03310298],"genre_scores_gemma":[0.9968576,0.0003022696,0.00003357187,0.0003952063,0.000007658774,0.000001769107,0.00004178394,0.000002880157,0.002357326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07860672,"threshold_uncertainty_score":0.5703343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02627512220332856,"score_gpt":0.2725991933721596,"score_spread":0.246324071168831,"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."}}