{"id":"W342090807","doi":"","title":"Monitoring the Impact of Scenario-based Use-of-force Simulations on Police Heart Rate: Evaluating the Royal Canadian Mounted Police Skills Refresher Program","year":2014,"lang":"en","type":"article","venue":"UWA Profiles and Research Repository (UWA)","topic":"Occupational Health and Performance","field":"Health Professions","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Officer; Proxy (statistics); Firefighting; Heart rate; Applied psychology; Simulation; Psychology; Operations management; Computer science; Engineering; 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":[0.00197351,0.0006315238,0.0003448241,0.0004088037,0.0007194037,0.0005306726,0.001400326,0.0005930722,0.001462076],"category_scores_gemma":[0.009339119,0.0002895407,0.0002850542,0.0003044638,0.0003599723,0.000317072,0.0006970679,0.0004760269,0.0002538389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002934395,"about_ca_system_score_gemma":0.003785596,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1131747,"about_ca_topic_score_gemma":0.3008175,"domain_scores_codex":[0.9985442,0.0005806672,0.00005230417,0.0001416226,0.0004252918,0.0002558992],"domain_scores_gemma":[0.996798,0.001165619,0.0006307891,0.0002302235,0.0005638999,0.0006114891],"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":[0.012593,0.04617746,0.3579496,0.001445082,0.0007160387,0.00116262,0.02526791,0.1094604,0.06627558,0.0008886868,0.006653145,0.3714104],"study_design_scores_gemma":[0.0005478103,0.04099886,0.8969784,0.0001578971,0.0001920605,0.0001835129,0.01007751,0.03174695,0.01087043,0.0003295812,0.007680923,0.0002359719],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981869,0.00001305816,0.0004416119,0.00004153322,0.000005215704,0.0002867605,0.0001263105,0.00002664593,0.0008718158],"genre_scores_gemma":[0.9954011,0.00007488914,0.002955614,0.00003685535,0.000008505768,0.0005623026,0.000304356,0.000003793682,0.0006525696],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8868253,"threshold_uncertainty_score":0.2250319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1605233664795017,"score_gpt":0.5412568674996956,"score_spread":0.3807335010201939,"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."}}