{"id":"W1606825656","doi":"","title":"Can There Be Too Much Context In Administrative Law? Setting the Standard of Review in Canadian Administrative Law","year":2014,"lang":"en","type":"article","venue":"TSpace","topic":"Criminal Law and Evidence","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"University of Cambridge","keywords":"Supreme court; Standard of review; Legislature; Judicial review; Context (archaeology); Political science; Law; Categorical variable; Administrative law; Order (exchange); Perspective (graphical); Judicial opinion; Law and economics; Sociology; Economics; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002097846,0.0001155159,0.0002868017,0.00002297795,0.0002645465,0.00004382673,0.0003029087,0.00006626592,0.0001982131],"category_scores_gemma":[0.0006350593,0.000089151,0.00004696243,0.0002514544,0.0005657154,0.0001009143,0.00002047228,0.0002145194,0.000005136459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002541821,"about_ca_system_score_gemma":0.001258771,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9016032,"about_ca_topic_score_gemma":0.9990103,"domain_scores_codex":[0.9982536,0.0006022142,0.0002519524,0.0001947148,0.000296665,0.0004008464],"domain_scores_gemma":[0.9988669,0.0005305984,0.0001245494,0.0001930894,0.000108323,0.0001765645],"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":[0.00002482348,0.00001192878,0.00128093,0.00009891079,0.00000509209,0.00001625863,0.07099395,6.141198e-7,0.000009366042,0.9236873,0.002382463,0.001488366],"study_design_scores_gemma":[0.0002281184,0.0002808582,0.001132469,0.001764311,0.00002224694,0.000002138261,0.1852944,0.000005925962,0.0004478136,0.003372648,0.8072202,0.0002289506],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1003294,0.003562818,0.000002212361,0.2929995,0.00009178618,0.0007676303,0.00004869401,0.00001533991,0.6021826],"genre_scores_gemma":[0.9941691,0.0003603095,0.00003708326,0.004486389,0.00004071286,0.00002246539,0.000002624684,0.000006429081,0.0008748577],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9203147,"threshold_uncertainty_score":0.3635472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09236820952006088,"score_gpt":0.4289437835473409,"score_spread":0.3365755740272801,"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."}}