{"id":"W991412592","doi":"10.1017/cbo9780511996399.017","title":"Judges, bias and recusal in Canada","year":2011,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Criminal Law and Evidence","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic Justice; Law; Natural (archaeology); Political science; Range (aeronautics); History; Engineering; Archaeology","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":[0.0001833123,0.000177938,0.000250647,0.00008060329,0.0002309381,0.00002607266,0.0003445439,0.0001948102,0.000020484],"category_scores_gemma":[0.00002823017,0.0002192539,0.00004605424,0.000007253009,0.0003293141,0.00008764701,0.00018347,0.0003092044,0.000004130776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008014071,"about_ca_system_score_gemma":0.00148304,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9830104,"about_ca_topic_score_gemma":0.9552138,"domain_scores_codex":[0.9989448,0.00006565666,0.0001206332,0.0003280165,0.0002634001,0.0002775325],"domain_scores_gemma":[0.9993047,0.0001079618,0.0001067882,0.0002039991,0.000070471,0.0002060921],"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":[0.000037292,0.000001849426,0.000153707,0.00002713866,0.00001418718,0.0004561036,0.0004423875,8.047885e-8,6.218404e-7,0.9605954,0.0359675,0.002303793],"study_design_scores_gemma":[0.0001237094,0.00001270188,0.0003000394,0.0001204809,0.00005023457,0.000002712571,0.0004421835,8.293793e-7,0.000006621261,0.00004144672,0.9986442,0.0002547987],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001911346,0.0002620438,0.00000229258,0.00009179768,0.0001923986,0.0001966206,0.00006291198,0.00002518606,0.9972554],"genre_scores_gemma":[0.03512853,0.0005450214,0.00001452032,0.00007886377,0.00007467016,2.415363e-7,0.000005557818,0.00001376033,0.9641388],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9626768,"threshold_uncertainty_score":0.8940915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07987745961855523,"score_gpt":0.2249465679614151,"score_spread":0.1450691083428599,"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."}}