{"id":"W7023666791","doi":"","title":"Police corruption measures in the United States of America and Canada","year":2019,"lang":"uk","type":"article","venue":"Kharkiv National University of Internal Affairs Institutional Repository (Kharkiv National Medical University)","topic":"War, Law, and Justice","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Language change; State (computer science); Government (linguistics); Legislation","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009589011,0.0002692226,0.0004115109,0.0008608555,0.0007019492,0.00003749301,0.001212895,0.0002914476,0.0004969263],"category_scores_gemma":[0.0006521337,0.0002877722,0.0001747544,0.001335106,0.002312378,0.0006200161,0.0002366174,0.0005188698,0.00001063378],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001920758,"about_ca_system_score_gemma":0.009580447,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7541114,"about_ca_topic_score_gemma":0.3586569,"domain_scores_codex":[0.9931078,0.0007143065,0.000507383,0.0004904252,0.004838213,0.0003419005],"domain_scores_gemma":[0.995076,0.00181825,0.0005944356,0.0001398668,0.002066934,0.000304541],"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":[0.004102597,0.002412867,0.06468831,0.0008406792,0.001573833,0.001015535,0.02612979,0.02362744,0.0007134611,0.8375103,0.03619462,0.001190601],"study_design_scores_gemma":[0.004568806,0.0002897057,0.04357128,0.001334271,0.0002580575,0.0001709519,0.1247479,0.0186949,0.00009425731,0.001014831,0.8044415,0.0008135243],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7195126,0.0002279085,0.001073594,0.004456579,0.001624567,0.0006743748,0.000883642,0.00003259573,0.2715141],"genre_scores_gemma":[0.9942731,0.0006295647,0.0001314447,0.0004729639,0.0002176764,2.583013e-7,0.0001790715,0.000007927894,0.004087943],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8364955,"threshold_uncertainty_score":0.9999574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01068079472349097,"score_gpt":0.2168219470840925,"score_spread":0.2061411523606016,"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."}}