{"id":"W3160796211","doi":"","title":"Criminalizing “Marriage Fraud” at multiple borders: Tracing the gendered and racialized effects of crimmigration in Canada.","year":2016,"lang":"en","type":"other","venue":"TSpace","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Presentation (obstetrics); Criminology; Political science; Sociology; Genealogy; History; Medicine","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":[0.001460252,0.0002699243,0.0003749639,0.002088522,0.01744559,0.005211026,0.001579667,0.001505637,0.006141383],"category_scores_gemma":[0.0108683,0.0003444509,0.0002473015,0.004761484,0.005340553,0.001904033,0.005650181,0.002869387,0.0002952886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0586905,"about_ca_system_score_gemma":0.09788766,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9924403,"about_ca_topic_score_gemma":0.997348,"domain_scores_codex":[0.9975102,0.0003789872,0.00003798924,0.0001748569,0.000780657,0.001117317],"domain_scores_gemma":[0.9957796,0.0007549041,0.0006519563,0.000131977,0.001391505,0.001290069],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001940999,0.0001630165,0.2052505,0.0001704753,0.000062937,0.001010524,0.5800679,0.0002840129,0.0003592726,0.03318356,0.06684206,0.1124116],"study_design_scores_gemma":[0.00001077359,0.0000270311,0.3065193,0.0004264166,0.00004326587,0.0002961342,0.6109258,0.0003980853,0.0003431915,0.002001897,0.07894903,0.00005913428],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9225989,0.004209548,0.0003263502,0.01948287,0.0001973964,0.00007369598,0.0009281895,0.00001637913,0.05216659],"genre_scores_gemma":[0.9801301,0.002280056,0.0001901427,0.0009832015,0.00002220509,0.0000226674,0.0002331538,0.00001971072,0.01611871],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0586905,"threshold_uncertainty_score":0.4258314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02464074948212293,"score_gpt":0.281263251586059,"score_spread":0.2566225021039361,"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."}}