{"id":"W4385469132","doi":"10.1080/10999922.2023.2240612","title":"Data Laundering Border Violence: Performance Measures and Immigration Enforcement","year":2023,"lang":"en","type":"article","venue":"Public Integrity","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Deportation; Audit; Enforcement; Immigration; Scrutiny; Law enforcement; Criminology; Law; Political science; Scholarship; Money laundering; Accountability; Business; Sociology; Law and economics; Accounting","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":[0.04534453,0.0004040782,0.0004347187,0.006035373,0.009519293,0.01702417,0.002312863,0.002133316,0.001560491],"category_scores_gemma":[0.1781531,0.0004091784,0.0003967558,0.008475777,0.02068437,0.007273585,0.006223177,0.004977468,0.0001713673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0416365,"about_ca_system_score_gemma":0.05664934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3999306,"about_ca_topic_score_gemma":0.3258652,"domain_scores_codex":[0.9486286,0.0266115,0.002487405,0.001751062,0.01476432,0.005757147],"domain_scores_gemma":[0.8231599,0.07688899,0.04732561,0.007356556,0.03793411,0.007334843],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002463269,0.000383036,0.2364744,0.0006217765,0.000117836,0.0003642159,0.05175528,0.002694334,0.0004048134,0.3998286,0.02360113,0.2835084],"study_design_scores_gemma":[0.0000767126,0.0006978421,0.5371101,0.00536938,0.000225018,0.0004232406,0.1770744,0.01054419,0.004248117,0.1079905,0.1558553,0.000385184],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5652385,0.01655975,0.01283329,0.1938376,0.0005731488,0.0003649582,0.0003512168,0.0002255998,0.2100158],"genre_scores_gemma":[0.9920379,0.001896655,0.001862514,0.001930916,0.00007574396,0.00002919794,0.00004920933,0.00001829141,0.002099693],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3999306,"threshold_uncertainty_score":0.7952055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09767420424221705,"score_gpt":0.3653458897749772,"score_spread":0.2676716855327601,"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."}}