{"id":"W4246908656","doi":"10.1017/9781780688480.008","title":"Canada","year":2019,"lang":"en","type":"book-chapter","venue":"Intersentia eBooks","topic":"Multicultural Socio-Legal Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Constitution; Law; Federalism; Federalist; Political science; Jurisdiction; Legislature; Criminal jurisdiction; Separation of powers; State (computer science); Charter","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":[0.0006708155,0.0008249599,0.0006677012,0.001629,0.008121274,0.0063714,0.001516342,0.002102417,0.3510263],"category_scores_gemma":[0.002797605,0.0003993052,0.0006773546,0.002537221,0.001213572,0.001597882,0.002130467,0.001822427,0.1067686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02624444,"about_ca_system_score_gemma":0.06531025,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8988739,"about_ca_topic_score_gemma":0.9369211,"domain_scores_codex":[0.9984146,0.00006988746,0.00004770963,0.0003184152,0.000750468,0.0003989079],"domain_scores_gemma":[0.9974983,0.00009173246,0.00005493405,0.0001186747,0.001802066,0.0004341736],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005251389,0.00001663345,0.00103051,0.0002126065,0.00001302535,0.0002309252,0.0002205196,0.0001222945,0.000258552,0.03678211,0.891195,0.06986529],"study_design_scores_gemma":[0.000004913433,0.000003356401,0.0008103686,0.0000685636,0.000004309989,0.00004443239,0.0001288399,0.00004988679,0.00005748931,0.001075113,0.9977441,0.000008760452],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00142294,0.004720403,0.0009827535,0.01131745,0.001992511,0.0001257965,0.01390781,0.000613696,0.9649166],"genre_scores_gemma":[0.01522364,0.005096518,0.001721576,0.005343338,0.0001894245,0.00007611334,0.009301688,0.0002999661,0.9627478],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3510263,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0262370415380209,"score_gpt":0.2656974516183657,"score_spread":0.2394604100803448,"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."}}