{"id":"W2764788230","doi":"10.14452/mr-067-05-2015-09_5","title":"Stripping Away Invisibility: Exploring the Architecture of Detention","year":2015,"lang":"en","type":"article","venue":"Monthly Review","topic":"Criminal Justice and Corrections Analysis","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Prison; Invisibility; Sociology; Political science; Law; Computer science","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":[0.00123116,0.0005282321,0.0002595423,0.0008236533,0.02230324,0.01436824,0.002354926,0.002603585,0.02950029],"category_scores_gemma":[0.002454425,0.0003767535,0.0003370089,0.001118317,0.02925268,0.004653235,0.008754524,0.006025515,0.002461638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03312879,"about_ca_system_score_gemma":0.01956687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3671669,"about_ca_topic_score_gemma":0.6864004,"domain_scores_codex":[0.9983439,0.0006957877,0.00002204149,0.00009400725,0.0002963696,0.0005479101],"domain_scores_gemma":[0.9990364,0.0001890351,0.00005248009,0.00008452182,0.0002266516,0.000410901],"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":[0.00002439213,0.00001951894,0.001014038,0.0001397288,0.000005896825,0.0005526511,0.1194806,0.0008107335,0.0001850685,0.7064908,0.1303281,0.04094848],"study_design_scores_gemma":[0.000003678888,0.00001282991,0.001241804,0.0003656021,0.000005115663,0.000203418,0.0973153,0.000224323,0.00008419809,0.03590031,0.8646213,0.00002211661],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03891376,0.01955025,0.0075332,0.06928051,0.001989592,0.0000523339,0.0001345318,0.0002534287,0.8622924],"genre_scores_gemma":[0.6784563,0.01001887,0.002365041,0.004949626,0.0003746859,0.00005594454,0.00008907751,0.0004939798,0.3031965],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3671669,"threshold_uncertainty_score":0.7300595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1617990255037318,"score_gpt":0.3520471050221927,"score_spread":0.1902480795184609,"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."}}