{"id":"W3168162151","doi":"10.1002/psp.2478","title":"The spatio‐temporal ordering of migrant detention: Exclusion, hierarchy, and human disposal","year":2021,"lang":"en","type":"article","venue":"Population Space and Place","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Temporalities; Deportation; Dehumanization; Criminology; Social exclusion; Sociology; Political science; Law; Immigration","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.001266343,0.00009913799,0.0001749119,0.001511283,0.00299197,0.003473571,0.0005404629,0.0003060111,0.004732031],"category_scores_gemma":[0.004953135,0.000123202,0.0001462231,0.001723732,0.007320522,0.002020397,0.004430233,0.0006468722,0.000227871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002835932,"about_ca_system_score_gemma":0.001843849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03301876,"about_ca_topic_score_gemma":0.06268237,"domain_scores_codex":[0.9988856,0.0005696324,0.00006234707,0.000116427,0.0001656239,0.0002003322],"domain_scores_gemma":[0.9976817,0.0007135782,0.0007855714,0.0002320403,0.000322436,0.0002645975],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004369693,0.0001223471,0.4065222,0.0001922699,0.00004918622,0.0009219916,0.2758569,0.003800926,0.003378361,0.233557,0.002533262,0.07262867],"study_design_scores_gemma":[0.00001175525,0.0001182931,0.5510036,0.0002378489,0.00001707265,0.0003393132,0.3806829,0.002026896,0.0006187677,0.03523384,0.02965381,0.00005589796],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9600119,0.0003573451,0.003650806,0.001489017,0.00001596505,0.00001849411,0.0001222806,0.00002479284,0.03430934],"genre_scores_gemma":[0.9989756,0.00004599086,0.0003533707,0.00001504484,0.000003436709,0.000004694902,0.00001819075,0.000003528086,0.0005800907],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03301876,"threshold_uncertainty_score":0.06565315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01579080031872816,"score_gpt":0.2968932349764947,"score_spread":0.2811024346577665,"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."}}