{"id":"W7033219637","doi":"","title":"Preparing Police Leaders of the Future: \\tAn Educational Needs Assessment","year":2019,"lang":"en","type":"report","venue":"Scholarship@Western (Western University)","topic":"Legal case studies and regulations","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Police science; Work (physics); Needs assessment; Task (project management); Training (meteorology); Empirical research","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006425186,0.0002416068,0.0001839595,0.004001675,0.005550615,0.002739884,0.0008201259,0.0006375582,0.003348313],"category_scores_gemma":[0.01031984,0.0003211863,0.0002111307,0.002273241,0.001012105,0.002327991,0.002195252,0.0009943566,0.0005369075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01165084,"about_ca_system_score_gemma":0.06283755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3438683,"about_ca_topic_score_gemma":0.6236309,"domain_scores_codex":[0.995905,0.001015378,0.0002519573,0.0001190715,0.001538715,0.001169952],"domain_scores_gemma":[0.9888117,0.0009950269,0.00062949,0.0001584042,0.007790188,0.001615276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005439551,0.0007554219,0.3462275,0.0009448585,0.00001425691,0.001466176,0.3286344,0.0006540937,0.001631875,0.009314388,0.0449709,0.2653318],"study_design_scores_gemma":[0.00001008303,0.0001424077,0.1573257,0.0005499072,0.00001063797,0.000259521,0.7717703,0.0007087245,0.0009256487,0.001330704,0.06691928,0.00004723008],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.902588,0.0006962307,0.002540029,0.02670645,0.0001164456,0.002603214,0.001257465,0.0001016147,0.06339051],"genre_scores_gemma":[0.9734302,0.001300369,0.01059286,0.001014421,0.0000337104,0.001276623,0.0008515655,0.00001366781,0.01148648],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3438683,"threshold_uncertainty_score":0.6837335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1179222423649022,"score_gpt":0.3952946602116973,"score_spread":0.2773724178467951,"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."}}