{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001138846,0.0002863277,0.0003625377,0.00003436822,0.0003853832,0.00008079262,0.0003814631,0.0002651831,0.001701283],"category_scores_gemma":[0.00003934773,0.0002581509,0.0002031624,0.000006507458,0.0003650228,0.00003601099,0.0001631048,0.0003587447,0.0005406535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009202612,"about_ca_system_score_gemma":0.001268654,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9038686,"about_ca_topic_score_gemma":0.9859941,"domain_scores_codex":[0.9983424,0.00003227867,0.0002618203,0.0003390492,0.0006487424,0.0003756932],"domain_scores_gemma":[0.9991902,0.00009549245,0.0001927057,0.0002224975,0.000165011,0.0001341251],"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":[0.00001014946,0.000003203814,0.00002457717,0.00003911195,0.0004105618,0.00007084569,0.007539663,3.964823e-7,0.00001540472,0.6507238,0.3350241,0.006138188],"study_design_scores_gemma":[0.0000880647,0.000008937658,0.0000176064,0.0001254013,0.00005939845,7.314605e-7,0.001287332,5.232801e-7,0.00001420598,0.0009339951,0.9971392,0.0003246507],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001026016,0.0002230492,0.000002223125,0.001420831,0.002588944,0.0003978135,0.00005392329,0.00006957758,0.995141],"genre_scores_gemma":[0.06372547,0.0000384647,0.00002102746,0.0006414468,0.0005475094,0.000005372417,0.000009474298,0.00003494899,0.9349763],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.662115,"threshold_uncertainty_score":0.9999871,"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."}}