{"id":"W1824963202","doi":"","title":"Migrant Smuggling: Canada's Response to a Global Criminal Enterprise: With an Assessment of the Preventing Human Smugglers from Abusing Canada's Immigration System Act (Bill C-4)","year":2011,"lang":"en","type":"article","venue":"eYLS (Yale Law School)","topic":"European Criminal Justice and Data Protection","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Parliament; Immigration; Legislature; Political science; Terrorism; Law; Foreign national; Immigration detention; Organised crime; Legislative history; Jurisprudence; Order (exchange); Immigration law; Supreme court; Criminology; Business; Politics; Sociology","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":[0.002391659,0.0008932529,0.0003047179,0.001470269,0.01764661,0.006467962,0.002789475,0.008139763,0.004528997],"category_scores_gemma":[0.006229523,0.0005821253,0.0009486434,0.001277415,0.00376943,0.001220786,0.002827039,0.005701659,0.0009009693],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05825616,"about_ca_system_score_gemma":0.3366461,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9931546,"about_ca_topic_score_gemma":0.9977392,"domain_scores_codex":[0.9945439,0.0002510818,0.000134814,0.000262815,0.002761219,0.002046107],"domain_scores_gemma":[0.9949597,0.0002607705,0.0002101253,0.0001220157,0.002504289,0.00194304],"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":[0.00007748097,0.0002076134,0.01897829,0.0003014431,0.00003124939,0.002421354,0.01094142,0.001356125,0.002462036,0.06029449,0.8432214,0.05970715],"study_design_scores_gemma":[0.00004819894,0.0001355432,0.05606092,0.0003986635,0.0000581865,0.0003748734,0.009087468,0.000736245,0.0008865057,0.001764952,0.9302702,0.0001783449],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1129324,0.008158544,0.002711725,0.3455365,0.004685636,0.001632235,0.002875921,0.0008067877,0.5206603],"genre_scores_gemma":[0.301116,0.007880026,0.008454881,0.2037369,0.0007632726,0.0003517169,0.001400111,0.0001690085,0.4761281],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9417439,"threshold_uncertainty_score":0.42268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02754525842600823,"score_gpt":0.292934632882466,"score_spread":0.2653893744564577,"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."}}