{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000226601,0.00003827595,0.00004468983,0.00001960471,0.0001506707,0.00003999429,0.00006602315,0.00003338401,0.0001290355],"category_scores_gemma":[0.0002580378,0.00003174349,0.00002280997,0.00009114474,0.0000595641,0.0001293611,0.000005402647,0.00003268252,0.0001749398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006970731,"about_ca_system_score_gemma":0.0001187843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001052236,"about_ca_topic_score_gemma":0.005734268,"domain_scores_codex":[0.999464,0.0000597932,0.00007392051,0.00008057061,0.0002152248,0.0001064862],"domain_scores_gemma":[0.999661,0.00001834638,0.00002756925,0.00006224833,0.0001234392,0.0001073734],"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":[0.0000133715,0.00007083929,0.001992528,0.000003947115,0.00000710354,0.000002154798,0.1797388,0.000007632878,0.0001664255,0.6299624,0.1849147,0.003120187],"study_design_scores_gemma":[0.0001377566,0.00003996681,0.00230161,0.000009750192,0.00002356027,3.638635e-7,0.1163403,0.0001171003,0.000666408,0.007449536,0.8728018,0.0001117612],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.41981,0.0002404428,0.001442869,0.002199631,0.001066048,0.0001917685,0.000003319813,0.00008793173,0.574958],"genre_scores_gemma":[0.9802931,0.00003504506,0.0001099027,0.0001272163,0.0003537193,0.00000801055,0.00001183522,0.000002898867,0.01905829],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6878872,"threshold_uncertainty_score":0.3199856,"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."}}