{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002335962,0.0001047092,0.0001068537,0.0001342749,0.0007493011,0.0003202824,0.0003592718,0.0001127842,0.0002880692],"category_scores_gemma":[0.0007395701,0.00008981673,0.00002168312,0.0004790967,0.0001403438,0.001533654,0.0001047267,0.0002339148,0.00006346206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009909327,"about_ca_system_score_gemma":0.0002644733,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003697908,"about_ca_topic_score_gemma":0.03350145,"domain_scores_codex":[0.9985441,0.0001354076,0.0002222575,0.0002954052,0.0004964503,0.0003063607],"domain_scores_gemma":[0.9992034,0.00005786089,0.00007211188,0.0003091519,0.0002573661,0.0001000482],"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":[0.00002084597,0.0000754129,0.03217397,0.0000616309,0.00004628298,8.133374e-7,0.05523978,0.00001281138,0.000313701,0.3218298,0.02253471,0.5676902],"study_design_scores_gemma":[0.0002084172,0.00005862211,0.01860074,0.00007690181,0.00001457731,0.000001123558,0.03062948,0.03150397,0.0002510118,0.003067582,0.9152955,0.000292016],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.967601,0.000227419,0.006753628,0.003349796,0.0006517067,0.0003860242,0.00003736562,0.0003632978,0.02062979],"genre_scores_gemma":[0.9945896,0.003122105,0.0001495475,0.00013853,0.0002779473,0.00003076602,0.0003103007,0.000007004115,0.001374232],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8927609,"threshold_uncertainty_score":0.9841346,"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."}}