{"id":"W2811337557","doi":"10.1093/migration/mny015","title":"Immigration detention: An Anglo model","year":2018,"lang":"en","type":"article","venue":"Migration Studies","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Leverhulme Trust","keywords":"Immigration detention; Parallels; Immigration; Political science; Democracy; Globe; Immigration policy; Political economy; Public administration; Law; Sociology; Economics; Politics","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":[0.001647798,0.0003254135,0.0001714657,0.0008393308,0.004295132,0.005043686,0.001002869,0.001024947,0.008407895],"category_scores_gemma":[0.002540415,0.0002205477,0.0003109008,0.0007793323,0.006943105,0.00277728,0.003190274,0.001858656,0.00132973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004420097,"about_ca_system_score_gemma":0.003432304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03108875,"about_ca_topic_score_gemma":0.0344805,"domain_scores_codex":[0.9986501,0.0007566053,0.00003035978,0.0001511416,0.0001301853,0.0002815867],"domain_scores_gemma":[0.9987213,0.0004429202,0.0002451296,0.00009282934,0.0001768059,0.0003209698],"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":[0.00003555452,0.0001493653,0.006836163,0.00003088925,0.000006778482,0.000264026,0.01435547,0.001611095,0.0001202363,0.9665074,0.002235,0.007847958],"study_design_scores_gemma":[0.000146397,0.000356179,0.01766445,0.0007852346,0.00005766143,0.001011353,0.07989775,0.04278997,0.0003195265,0.6386687,0.218187,0.0001157022],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3475336,0.0009965338,0.02222192,0.0227693,0.0002057555,0.0001734899,0.00013263,0.0000534402,0.6059133],"genre_scores_gemma":[0.9654323,0.0005999501,0.002378968,0.002072625,0.00006678978,0.0001072919,0.00004307291,0.00001685193,0.02928214],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03108875,"threshold_uncertainty_score":0.06181556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08369217909578436,"score_gpt":0.3995034202263279,"score_spread":0.3158112411305435,"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."}}