{"id":"W3202375715","doi":"10.1097/ncq.0000000000000600","title":"Workplace Predictors of Quality and Safe Patient Care Delivery Among Nurses Using Machine Learning Techniques","year":2021,"lang":"en","type":"article","venue":"Journal of Nursing Care Quality","topic":"Nursing education and management","field":"Nursing","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Quality (philosophy); Quality management; MEDLINE; Nursing; Patient safety; Patient care; Medical emergency; Medicine; Computer science; Psychology; Health care; Operations management; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007008049,0.0002382365,0.0006048768,0.0002510975,0.0002618888,0.00009109648,0.000146562,0.0001446105,0.00002276343],"category_scores_gemma":[0.0005386387,0.0002382475,0.000229892,0.0003269373,0.0002600801,0.0003098209,0.00004163496,0.0005182003,2.626372e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009371861,"about_ca_system_score_gemma":0.00015991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003175693,"about_ca_topic_score_gemma":0.0000528706,"domain_scores_codex":[0.9963644,0.001194697,0.001183621,0.0002914916,0.0006811049,0.0002846759],"domain_scores_gemma":[0.9965878,0.0002394098,0.001372319,0.0002971514,0.001321062,0.0001822199],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.001416966,0.001107563,0.3397767,0.001740455,0.0002692039,0.00003922617,0.1729968,0.000526086,0.02342773,0.0002202358,0.002246256,0.4562328],"study_design_scores_gemma":[0.001866718,0.001658471,0.2670426,0.01027402,0.001020964,0.0001825188,0.4993181,0.00009007393,0.2030244,0.0004105793,0.0141674,0.0009441794],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9839033,0.006802786,0.0002068328,0.0007209976,0.00730473,0.0001954116,0.0000171779,0.00005283779,0.0007958681],"genre_scores_gemma":[0.9936794,0.00006818119,0.005654514,0.0001496838,0.0003111969,0.00000133341,0.00002196617,0.00003343492,0.00008026016],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4552886,"threshold_uncertainty_score":0.971545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03698035093871915,"score_gpt":0.3785958245427114,"score_spread":0.3416154736039922,"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."}}