{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0007137954,0.0001500087,0.0001697371,0.0001266214,0.00161054,0.0001507063,0.0001347503,0.0001044739,0.0001177487],"category_scores_gemma":[0.000268862,0.0001322943,0.00007360114,0.0003728209,0.0003936143,0.001304147,0.00001733367,0.00007007566,0.0001403015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001445778,"about_ca_system_score_gemma":0.0001282489,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009105881,"about_ca_topic_score_gemma":0.2720316,"domain_scores_codex":[0.9984444,0.000214072,0.0003360279,0.0003099099,0.0004493844,0.000246249],"domain_scores_gemma":[0.9983758,0.00003826948,0.0001460908,0.000211157,0.001142449,0.00008624436],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009475688,0.0002915317,0.008727177,0.00002455266,0.0001530412,0.000001151715,0.5268506,0.0002402168,0.01096511,0.310648,0.110916,0.03108775],"study_design_scores_gemma":[0.001170751,0.001347349,0.0139691,0.0001258611,0.0002384772,0.000003704794,0.2320118,0.1154223,0.01325727,0.06287567,0.5580587,0.001519011],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9458055,0.0008993989,0.03764426,0.002804764,0.000784185,0.0004310652,0.00001076628,0.0003275786,0.01129241],"genre_scores_gemma":[0.9866918,0.000999112,0.002256996,0.0004255053,0.00133867,0.00007042245,0.00006045859,0.00001181926,0.008145211],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4471427,"threshold_uncertainty_score":0.9996892,"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."}}