{"id":"W3121630146","doi":"","title":"Outsourcing Immigration Compliance","year":2009,"lang":"en","type":"article","venue":"Fordham law review","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Immigration law; Deportation; Government (linguistics); Outsourcing; Nationality; Political science; Population; Compliance (psychology); Immigration policy; Business; Law; Sociology","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":[0.007607647,0.0004121377,0.0002410449,0.001164805,0.008071156,0.004999415,0.001767335,0.001566996,0.04141602],"category_scores_gemma":[0.01922855,0.0003755544,0.0005194006,0.001886552,0.002435772,0.002216619,0.01177131,0.002599538,0.004976768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006678924,"about_ca_system_score_gemma":0.04205754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02405697,"about_ca_topic_score_gemma":0.03362873,"domain_scores_codex":[0.9877358,0.003635716,0.0007058433,0.0008635418,0.002276942,0.004782036],"domain_scores_gemma":[0.9856666,0.002690379,0.002078791,0.00289554,0.002763085,0.003905648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001493883,0.002142741,0.1492929,0.0004785882,0.00004768365,0.002025882,0.03346157,0.002990619,0.002058475,0.1760213,0.08262306,0.5487078],"study_design_scores_gemma":[0.0002111727,0.001214121,0.2371186,0.001476075,0.00009519496,0.002414009,0.1166559,0.009425125,0.007481683,0.03735694,0.5864256,0.0001255747],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.4059892,0.0004503216,0.01092426,0.02649209,0.0004461221,0.0009668994,0.0003607036,0.0005853484,0.553785],"genre_scores_gemma":[0.9357017,0.0005086096,0.005603041,0.003116093,0.0001281753,0.0003329594,0.0002869832,0.00006461406,0.0542578],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04141602,"threshold_uncertainty_score":0.1385504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1354968263526254,"score_gpt":0.4655588366139104,"score_spread":0.330062010261285,"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."}}