{"id":"W3014448542","doi":"10.21991/cf29392","title":"Seeing Double: Peace, Order, and Good Government, and the Impact of Federal Greenhouse Emissions Legislation on Provincial Jurisdiction","year":2020,"lang":"en","type":"article","venue":"Constitutional Forum / Forum constitutionnel","topic":"Legal and Constitutional Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Jurisdiction; Legislation; Greenhouse gas; Federalism; Government (linguistics); Law; Political science; Public administration; Cooperative federalism; Order (exchange); Parliament; Politics; Economics; Business; Finance","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005356598,0.0002026362,0.0003002569,0.001041309,0.01623101,0.01306592,0.001760129,0.0038728,0.00369643],"category_scores_gemma":[0.01574411,0.0002539275,0.0004398675,0.001458888,0.04286293,0.005313261,0.004008018,0.00660125,0.0001892567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06762543,"about_ca_system_score_gemma":0.06949101,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8675581,"about_ca_topic_score_gemma":0.9200156,"domain_scores_codex":[0.9918669,0.002163293,0.0001753567,0.0007758738,0.002700216,0.002318414],"domain_scores_gemma":[0.9932523,0.003657543,0.0004545155,0.0003838511,0.001855231,0.000396447],"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":[0.000005032952,0.000002246891,0.0005411969,0.00000785931,0.000001635173,0.00004566259,0.003645696,0.0001828175,0.00004860271,0.9913036,0.002257612,0.001958149],"study_design_scores_gemma":[0.00003368385,0.00002563043,0.01158064,0.0002977457,0.00007090049,0.0001088149,0.02678002,0.00276318,0.001592184,0.789485,0.1671679,0.000094198],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1619211,0.003950632,0.01450297,0.1789279,0.0005527588,0.00005591078,0.0002353966,0.00007258185,0.6397806],"genre_scores_gemma":[0.9814208,0.000615383,0.001219687,0.006242816,0.00006527827,0.00001662991,0.0000224451,0.00001612482,0.01038086],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1324419,"threshold_uncertainty_score":0.4906591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02374672746555814,"score_gpt":0.2287740090391866,"score_spread":0.2050272815736284,"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."}}