{"id":"W4255843237","doi":"10.1353/dss.2015.0044","title":"Executive Justice?","year":2015,"lang":"en","type":"article","venue":"Dissent","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Deportation; Immigration; Scope (computer science); State (computer science); Quarter (Canadian coin); Political science; Law; Economic Justice; Immigration law; Criminology; Sociology; History","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":[0.00453698,0.0004277627,0.0004098833,0.0007352795,0.01225765,0.01062894,0.001039722,0.005834116,0.04165753],"category_scores_gemma":[0.01154957,0.0001858454,0.0003298891,0.0006932704,0.006842384,0.005809521,0.004257111,0.009874949,0.006609141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0054629,"about_ca_system_score_gemma":0.01331663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01186675,"about_ca_topic_score_gemma":0.02489901,"domain_scores_codex":[0.9949645,0.001237227,0.0001610147,0.0006293656,0.000821028,0.002186827],"domain_scores_gemma":[0.9952738,0.001051214,0.0003305862,0.0003320336,0.001192773,0.001819698],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001522049,0.00004088829,0.001058562,0.00003713532,0.000006326778,0.0002797846,0.002671643,0.00003283218,0.00005993962,0.38545,0.5878187,0.02252897],"study_design_scores_gemma":[0.000009621268,0.00001405196,0.0009455602,0.0001948199,0.00000443792,0.0001400248,0.004327276,0.000042722,0.00008638703,0.05163927,0.9425856,0.00001018829],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.005522534,0.004783402,0.0006354545,0.5604663,0.007612997,0.00002885025,0.00006901917,0.0000480116,0.4208333],"genre_scores_gemma":[0.2092938,0.004379324,0.0004663093,0.4198238,0.007014636,0.00007934363,0.0001041933,0.00009576576,0.3587428],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.04165753,"threshold_uncertainty_score":0.1393583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05469044411229115,"score_gpt":0.3654832526504275,"score_spread":0.3107928085381363,"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."}}