{"id":"W4313496270","doi":"10.56331/487529/ijpsmd","title":"Police Leadership Training: Effective Policies and Methods","year":2023,"lang":"en","type":"article","venue":"International Journal of Police Science","topic":"Policing Practices and Perceptions","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"International Political Science Association","funders":"","keywords":"Scope (computer science); Training (meteorology); Political science; Context (archaeology); Face (sociological concept); Public relations; Sociology; Computer science; Social science","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":[],"consensus_categories":[],"category_scores_codex":[0.004858561,0.00008463245,0.0001398054,0.0008574912,0.0005243664,0.0003460233,0.0008709318,0.00004911533,0.00005390283],"category_scores_gemma":[0.001059323,0.00007554267,0.00007280298,0.001132612,0.001383933,0.001214088,0.0001032771,0.0002188736,0.00002790587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001722986,"about_ca_system_score_gemma":0.0005355886,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07456813,"about_ca_topic_score_gemma":0.007061452,"domain_scores_codex":[0.9980066,0.000284491,0.0002535394,0.0001419051,0.0009091081,0.0004043053],"domain_scores_gemma":[0.9977352,0.001066214,0.0002853191,0.00008179584,0.0005555642,0.0002758973],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00002617817,0.00003096499,0.001607561,0.000003854705,0.00005142633,0.000002930015,0.8141626,0.00007657154,0.02031084,0.02536326,0.001618535,0.1367453],"study_design_scores_gemma":[0.0007307374,0.0002226427,0.4446805,0.0001774474,0.00005757296,0.0002670865,0.4034226,0.0003810716,0.001833768,0.0037062,0.1441357,0.0003846963],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9340199,0.00002761929,0.0004187608,0.02281205,0.001717371,0.0001059664,0.00001187793,0.00005702104,0.04082942],"genre_scores_gemma":[0.9936457,0.0002132305,0.002127657,0.00159889,0.001397002,0.000002627658,3.061297e-7,0.00000682988,0.001007719],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4430729,"threshold_uncertainty_score":0.9315944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2486606814768842,"score_gpt":0.5403068057710712,"score_spread":0.2916461242941869,"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."}}