{"id":"W3186186199","doi":"10.3390/ijerph18157746","title":"Using Dominance Analysis to Identify the Most Important Dimensions of Safety Culture for Predicting Patient Safety","year":2021,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Patient Safety and Medication Errors","field":"Health Professions","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Ministry of Science and ICT, South Korea","keywords":"Patient safety; Staffing; Safety culture; Dominance (genetics); Organizational culture; Nursing; Logistic regression; Psychology; Quality management; Health care; Perception; Active listening; Medicine; Operations management; Management; Management system","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01521691,0.001538393,0.0009640005,0.004691367,0.00196435,0.002745711,0.0005594898,0.0004778065,0.002929729],"category_scores_gemma":[0.05085275,0.0003691567,0.003175124,0.002217257,0.0009451814,0.002264721,0.002503994,0.001310782,0.0005097071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001285327,"about_ca_system_score_gemma":0.003388461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01090127,"about_ca_topic_score_gemma":0.01005048,"domain_scores_codex":[0.9857771,0.009155457,0.0008255115,0.0007421764,0.002573152,0.0009265309],"domain_scores_gemma":[0.9439034,0.04319544,0.003837077,0.002083488,0.00501462,0.00196581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004376464,0.0003773465,0.9005511,0.0001622933,0.0009533499,0.0002627972,0.002124338,0.004817563,0.002278296,0.003820653,0.001018065,0.08319671],"study_design_scores_gemma":[0.0001123126,0.001724619,0.7830893,0.000228234,0.0008533814,0.0007314312,0.005532116,0.1796878,0.002705629,0.02150937,0.003634171,0.0001915631],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9141195,0.0004618577,0.0753321,0.0005788197,0.00008631579,0.0002424115,0.0004007473,0.00008963412,0.008688577],"genre_scores_gemma":[0.9857454,0.0001562851,0.0128707,0.00004634154,0.00004115111,0.0001469615,0.0002793063,0.00001783646,0.0006959997],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01521691,"threshold_uncertainty_score":0.08047563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1459797270548894,"score_gpt":0.5048094547228067,"score_spread":0.3588297276679173,"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."}}