{"id":"W2567164164","doi":"","title":"캐나다 연방경찰의 경찰후보생 훈련과정 및 시사점 연구","year":2012,"lang":"ko","type":"article","venue":"경찰학연구","topic":"Educational Systems and Policies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cadet; Officer; Training (meteorology); Psychology; Intervention (counseling); Medical education; Pedagogy; Political science; Law; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001145981,0.0002642799,0.0001181157,0.0003755873,0.002008863,0.001474991,0.0004816219,0.000580351,0.01278947],"category_scores_gemma":[0.001542383,0.0001752857,0.0001758582,0.000523901,0.0008740399,0.001552401,0.001080528,0.001086,0.002638227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002590563,"about_ca_system_score_gemma":0.008209457,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01789887,"about_ca_topic_score_gemma":0.04210116,"domain_scores_codex":[0.9993587,0.0001231373,0.00005919095,0.0001063887,0.0001491731,0.000203347],"domain_scores_gemma":[0.9978339,0.0001405161,0.0002245777,0.0001477222,0.0009864471,0.0006668431],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003029079,0.001443682,0.1078707,0.00123107,0.00003663219,0.0006634327,0.01014084,0.001814158,0.01452871,0.07531423,0.1536559,0.6329977],"study_design_scores_gemma":[0.00004961763,0.0006026737,0.1503275,0.0005174533,0.00004794712,0.000812483,0.0267928,0.002756112,0.01089508,0.006644374,0.8004518,0.0001021725],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5185589,0.00190148,0.02353645,0.03549022,0.001030284,0.000801307,0.0008499199,0.0004218031,0.4174095],"genre_scores_gemma":[0.8075156,0.00163686,0.019306,0.003719234,0.00007056049,0.0003376284,0.00073561,0.00007177104,0.1666066],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9821011,"threshold_uncertainty_score":0.04278499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03447420902738228,"score_gpt":0.2987355946575915,"score_spread":0.2642613856302092,"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."}}