{"id":"W2146584149","doi":"10.1186/s13012-015-0278-1","title":"Improving patient safety by optimizing the use of nursing human resources","year":2015,"lang":"en","type":"article","venue":"Implementation Science","topic":"Patient Safety and Medication Errors","field":"Health Professions","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre; Université de Sherbrooke","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Staffing; Adverse effect; Emergency medicine; Patient safety; Incidence (geometry); Health care; Health administration; Intensive care medicine; Medical emergency; Nursing; Public health; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001627746,0.00007265945,0.00009455364,0.0001027988,0.001427714,0.000007411327,0.0002596312,0.00002797701,0.00009562779],"category_scores_gemma":[0.0004947525,0.00005215957,0.0000205186,0.0005252569,0.0004374687,0.0006137739,0.00009019027,0.000148229,0.00001170302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002903074,"about_ca_system_score_gemma":0.0004325389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005419612,"about_ca_topic_score_gemma":0.00003738872,"domain_scores_codex":[0.9978845,0.0002605554,0.0006001667,0.0001775813,0.0007385829,0.0003386094],"domain_scores_gemma":[0.9983136,0.0002512613,0.0006729147,0.0002609164,0.0003400478,0.0001612315],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001590065,0.0002274889,0.0611334,0.00005777196,0.00001780546,5.589396e-7,0.568207,0.001785788,0.1074456,0.006710396,0.05975413,0.194501],"study_design_scores_gemma":[0.003717081,0.0005404583,0.06025905,0.0004103809,0.00006039976,0.00000280789,0.5680436,0.003591421,0.01778722,0.0004415762,0.3447132,0.0004327993],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.961104,0.00003536783,0.03253248,0.003384545,0.0006106024,0.000917652,0.0000538592,0.00004470192,0.001316837],"genre_scores_gemma":[0.9962515,0.000003609058,0.002635822,0.0008988673,0.00003031217,0.00004143681,0.00002804755,0.000006175874,0.0001042452],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2849591,"threshold_uncertainty_score":0.9998723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4160516091865968,"score_gpt":0.5582160516923205,"score_spread":0.1421644425057236,"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."}}