{"id":"W202561496","doi":"","title":"R. v. Kapp: Aboriginal Fishing, Andrews and Affirmative Action in the Supreme Court of Canada","year":2009,"lang":"en","type":"article","venue":"Revue nationale de droit constitutionnel","topic":"Multicultural Socio-Legal Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Affirmative action; Supreme court; Law; Fishing; Political science; Action (physics); Physics","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":[0.003771513,0.000442632,0.0005422382,0.0009064556,0.03214127,0.009146693,0.002795599,0.01519151,0.007287459],"category_scores_gemma":[0.009652035,0.0006088527,0.0005884969,0.001714774,0.008081015,0.002095884,0.002672789,0.01114841,0.0005750703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06286331,"about_ca_system_score_gemma":0.1546872,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9887213,"about_ca_topic_score_gemma":0.9953726,"domain_scores_codex":[0.9947712,0.000637694,0.0001302054,0.0004115503,0.001700105,0.002349337],"domain_scores_gemma":[0.9960311,0.001745537,0.0001488774,0.000122372,0.001260158,0.0006919213],"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":[0.00007502414,0.00004160251,0.005867097,0.0001105849,0.00004316779,0.001271824,0.01567052,0.0008460209,0.0006026229,0.7490119,0.2144162,0.01204342],"study_design_scores_gemma":[0.0001726448,0.00006034092,0.03006591,0.0009268533,0.0002255577,0.0005106035,0.0297349,0.003233815,0.001664123,0.1051363,0.8278984,0.0003706464],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09677227,0.01541247,0.001669572,0.2770466,0.00160824,0.0002047263,0.001061738,0.0001184694,0.6061059],"genre_scores_gemma":[0.6533332,0.004377117,0.001377525,0.09546749,0.0003944559,0.0001526017,0.0001335321,0.00006855895,0.2446955],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06286331,"threshold_uncertainty_score":0.4561074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02469100168435922,"score_gpt":0.2996355685379767,"score_spread":0.2749445668536175,"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."}}