{"id":"W2104248018","doi":"10.1177/096466390000900104","title":"Autonomy, Regulation and the Police Beat","year":2000,"lang":"en","type":"article","venue":"Social & Legal Studies","topic":"Policing Practices and Perceptions","field":"Social Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Autonomy; Discretion; Officer; Sociology; Corporate governance; Law; State police; Political science; Public relations; Law enforcement; Management; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0004777218,0.00005992943,0.0001190136,0.00001271458,0.003095478,0.000105176,0.00007356706,0.00004269942,0.0002769491],"category_scores_gemma":[0.00005121738,0.00004258572,0.00004869965,0.0001332641,0.001016543,0.0002555797,0.00002425035,0.00008800602,0.00005368269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007938832,"about_ca_system_score_gemma":0.00006074745,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1913622,"about_ca_topic_score_gemma":0.06521028,"domain_scores_codex":[0.9992629,0.0002198414,0.00009510554,0.00009441692,0.0001484864,0.0001792436],"domain_scores_gemma":[0.9996126,0.0002310269,0.00004017369,0.00004668169,0.00004177225,0.00002777966],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003198185,0.000011141,0.0004488315,0.000003009205,0.00006564896,1.00282e-7,0.7789856,0.000003108099,0.000003809499,0.1705682,0.008625584,0.04125295],"study_design_scores_gemma":[0.0002853635,0.000008303405,0.04358406,0.000004139352,0.00004722127,4.039156e-7,0.04375875,0.000006076436,6.364066e-7,0.004161465,0.9080675,0.00007604676],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4936181,0.000475204,0.00000185149,0.06528652,0.0001360098,0.0001841833,0.000003591454,0.00007444018,0.4402201],"genre_scores_gemma":[0.9676214,0.00123626,0.00001969999,0.0008763022,0.001245875,0.00001607981,6.757394e-7,0.000004048993,0.02897965],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.899442,"threshold_uncertainty_score":0.9982024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06150629976158316,"score_gpt":0.4057550963663055,"score_spread":0.3442487966047223,"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."}}