{"id":"W2943774203","doi":"10.1017/s0020782900006914","title":"SupremeCourt of Canada: Mugesera v.Canada (Minister of Citizenship and Immigration)","year":2005,"lang":"en","type":"article","venue":"International Legal Materials","topic":"Conflict of Laws and Jurisdiction","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Citizenship; Immigration; Political science; Law; Content (measure theory); Politics; Mathematics","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":[0.001621635,0.0003735979,0.0004377799,0.0008838178,0.02077814,0.00550878,0.001932546,0.007351855,0.01631733],"category_scores_gemma":[0.006369063,0.0004486713,0.0004941344,0.00132497,0.002049265,0.001325125,0.001555868,0.006877016,0.001146845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05352739,"about_ca_system_score_gemma":0.1427228,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9914978,"about_ca_topic_score_gemma":0.9975517,"domain_scores_codex":[0.9971872,0.0001485136,0.00005285676,0.000191289,0.00106647,0.001353709],"domain_scores_gemma":[0.9976202,0.0002799432,0.00005447023,0.00006044959,0.001354387,0.0006304671],"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":[0.00005526673,0.00002546651,0.005048721,0.00007397764,0.00002087208,0.000779322,0.002838544,0.0001664437,0.0003132439,0.1085117,0.8684487,0.01371781],"study_design_scores_gemma":[0.00004263566,0.00002353954,0.01959546,0.0003397408,0.00008041901,0.0002301288,0.005033029,0.000384151,0.0007373146,0.007100795,0.9663435,0.00008922745],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.04755713,0.007658196,0.0006312297,0.1880591,0.003146632,0.0001565429,0.003678531,0.0001828286,0.7489297],"genre_scores_gemma":[0.376385,0.003820469,0.0008669219,0.1097619,0.0004035059,0.00007387274,0.0009013422,0.0001265112,0.5076604],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05352739,"threshold_uncertainty_score":0.3883702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009112330724101208,"score_gpt":0.2505719265991703,"score_spread":0.2414595958750691,"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."}}