{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001044445,0.0001947042,0.0002229499,0.00003041187,0.001099837,0.0001264611,0.000571051,0.00005807178,0.00005079285],"category_scores_gemma":[0.0001482774,0.0001422578,0.00005124603,0.0002934567,0.0001054107,0.0003320437,0.00009260518,0.0002147769,0.000001665032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001618119,"about_ca_system_score_gemma":0.00289413,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9994685,"about_ca_topic_score_gemma":0.999863,"domain_scores_codex":[0.9968649,0.001003301,0.0004073051,0.0004099809,0.0009096686,0.0004048393],"domain_scores_gemma":[0.998588,0.00007798001,0.0003267026,0.0004963923,0.0001982461,0.0003126962],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02038736,0.002212666,0.5958144,0.00251421,0.001564628,0.002124834,0.1992566,0.002272356,0.07948277,0.06058506,0.00996332,0.02382182],"study_design_scores_gemma":[0.001385177,0.001032006,0.7484913,0.002454108,0.001004472,0.00002508646,0.2032447,0.0004253439,0.00443239,0.0001169711,0.03618474,0.001203582],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955483,0.00002722621,0.0005958753,0.0002822506,0.0003898125,0.0005377125,0.0001720751,0.00004470584,0.002402039],"genre_scores_gemma":[0.9974097,0.000001223964,0.00198676,0.000280526,0.0001768164,0.00002053658,0.00002148394,0.00001821932,0.0000847612],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.152677,"threshold_uncertainty_score":0.845917,"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."}}