{"id":"W2337027510","doi":"10.1037/tam0000048","title":"Predictors of trivialization of workplace violence among healthcare workers and law enforcers.","year":2015,"lang":"en","type":"article","venue":"Journal of Threat Assessment and Management","topic":"Workplace Violence and Bullying","field":"Social Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Law enforcement; Workplace violence; Health care; Occupational safety and health; Enforcement; Work (physics); Criminology; Psychology; Human factors and ergonomics; Nursing; Law; Poison control; Political science; Medicine; Medical emergency; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001083314,0.0002382178,0.0002065987,0.0009113464,0.000620046,0.0007019506,0.0002963439,0.000421328,0.001902582],"category_scores_gemma":[0.007330599,0.0002403973,0.0002599561,0.0004443651,0.0005113561,0.0004190542,0.0009797016,0.0008574132,0.0002131262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002498294,"about_ca_system_score_gemma":0.0005184186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004617124,"about_ca_topic_score_gemma":0.005639951,"domain_scores_codex":[0.9990202,0.0002329855,0.0001686201,0.00009689428,0.0002821091,0.0001990883],"domain_scores_gemma":[0.9891995,0.001352497,0.00701221,0.0003352962,0.0005589011,0.001541546],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001183607,0.00002320397,0.9988871,0.000003797714,0.000005902131,0.00002381766,0.0001930126,0.00001117533,0.00005941746,0.000007928699,0.00002000122,0.000752825],"study_design_scores_gemma":[8.087404e-7,0.00004577518,0.9988195,0.000006980963,0.000002031516,0.0000987017,0.0008320375,0.00007165618,0.00002647852,0.00001228672,0.00008128874,0.000002322535],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994059,0.00007641575,0.00005997163,0.00006913338,0.000003504009,0.000007152794,0.00004460013,0.000001550476,0.0003317804],"genre_scores_gemma":[0.9996819,0.00004303544,0.00005646802,0.00001383839,0.000006296714,0.000003432284,0.00007955349,7.413977e-7,0.0001147398],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004617124,"threshold_uncertainty_score":0.009180486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02818670755641993,"score_gpt":0.3399038618708017,"score_spread":0.3117171543143818,"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."}}