{"id":"W4250947472","doi":"10.1093/obo/9780195396607-0257","title":"Migrant Detention and Incarceration","year":2019,"lang":"en","type":"reference-entry","venue":"Criminology","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration detention; Immigration; Enforcement; Political science; Punitive damages; Criminology; Mass incarceration; Statute; Criminal justice; Law; Immigration law; State (computer science); 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":[0.0007504395,0.0001780926,0.0001767485,0.0006829053,0.003818814,0.001731182,0.0004423376,0.001233614,0.003396123],"category_scores_gemma":[0.002725723,0.0001003394,0.0002073858,0.0007509975,0.004572596,0.00103202,0.005074066,0.001725798,0.0002227256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001678935,"about_ca_system_score_gemma":0.00262123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01463422,"about_ca_topic_score_gemma":0.02326197,"domain_scores_codex":[0.9985122,0.0005953569,0.0001007403,0.0001708781,0.0002097644,0.0004111455],"domain_scores_gemma":[0.9988258,0.0002087742,0.0005242369,0.00007255503,0.0001181013,0.00025039],"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":[0.0002043647,0.0003803151,0.1306936,0.0004838089,0.00004881916,0.008287662,0.1683483,0.001029508,0.0008938928,0.4511308,0.02528662,0.2132123],"study_design_scores_gemma":[0.00004560369,0.0003574537,0.3241136,0.002662268,0.00005575494,0.009286651,0.190053,0.0007819146,0.0007961573,0.06643361,0.4053139,0.0001001984],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.7827364,0.01895876,0.001379794,0.03717054,0.0007383394,0.00005093556,0.0001273762,0.00004461904,0.1587934],"genre_scores_gemma":[0.9796008,0.004221687,0.0002218611,0.002215364,0.0001896984,0.00002289525,0.00004325052,0.000008983206,0.01347556],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01463422,"threshold_uncertainty_score":0.02909809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0820029468182773,"score_gpt":0.325483089904572,"score_spread":0.2434801430862947,"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."}}