{"id":"W2951719751","doi":"10.60082/2563-8505.1369","title":"Extradition, Assurances and Human Rights: Guidance from the Supreme Court of Canada in India v. Badesha","year":2019,"lang":"en","type":"article","venue":"Supreme Court law review","topic":"European Criminal Justice and Data Protection","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Surrender; Law; Supreme court; Political science; Appeal; Receipt; Trial court; State (computer science); Business","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01287965,0.0009586644,0.001325947,0.006102587,0.02649724,0.01856444,0.005872277,0.01517845,0.00569213],"category_scores_gemma":[0.03402567,0.001379288,0.0009624625,0.008720725,0.01451699,0.004702224,0.004503106,0.01846968,0.0006698144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1253738,"about_ca_system_score_gemma":0.3057056,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9852642,"about_ca_topic_score_gemma":0.9940416,"domain_scores_codex":[0.9859367,0.00213311,0.0008901237,0.0009432159,0.005853146,0.004243752],"domain_scores_gemma":[0.9711184,0.01476079,0.0008848167,0.0005202614,0.01005274,0.002663095],"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":[0.00004015211,0.00006552886,0.004071588,0.0005519191,0.00005855802,0.00178164,0.01166028,0.001106555,0.0003127546,0.6859264,0.2573643,0.03706034],"study_design_scores_gemma":[0.0000774739,0.00002814913,0.01005651,0.002957895,0.0001550886,0.0003977913,0.008006418,0.0006695456,0.0005591094,0.06444489,0.9123523,0.0002948008],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02888642,0.1238201,0.002870163,0.3603489,0.002303299,0.0003462564,0.001489446,0.0001601346,0.4797753],"genre_scores_gemma":[0.5911416,0.1085606,0.009252023,0.1874363,0.00120797,0.000304969,0.001072868,0.0002339774,0.1007898],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1253738,"threshold_uncertainty_score":0.9096546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0307838434405291,"score_gpt":0.2860707144174122,"score_spread":0.2552868709768831,"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."}}