{"id":"W4386910002","doi":"10.1111/jan.15870","title":"Computer models in healthcare shed light on the roots of missed care in system design: Nurse workload","year":2023,"lang":"en","type":"article","venue":"Journal of Advanced Nursing","topic":"Geriatric Care and Nursing Homes","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Workload; Health care; Nursing; Healthcare system; Medicine; Computer science; Political science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01964651,0.001659473,0.001518759,0.001667303,0.003872933,0.007936391,0.006085226,0.01962554,0.003301581],"category_scores_gemma":[0.08765894,0.0008737469,0.002531635,0.001909689,0.01081689,0.009293939,0.003027733,0.01983775,0.001179594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009765,"about_ca_system_score_gemma":0.01185587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03421743,"about_ca_topic_score_gemma":0.03861274,"domain_scores_codex":[0.9766583,0.01531518,0.0013433,0.001438344,0.004488476,0.0007563439],"domain_scores_gemma":[0.8329121,0.1448616,0.00245858,0.001924515,0.01647613,0.001367051],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000104876,0.00002432427,0.0005810741,0.002126746,0.0001065389,0.0003649413,0.006125102,0.005313823,0.0001903647,0.1176508,0.8398988,0.02751259],"study_design_scores_gemma":[0.00005979045,0.0001352218,0.0008737936,0.003625259,0.00009659057,0.0004319309,0.002885848,0.008672815,0.0003954854,0.09562502,0.8870078,0.0001904249],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0008469064,0.03271255,0.009328987,0.8839491,0.07005115,0.00001865966,0.00008198504,0.00009228435,0.002918316],"genre_scores_gemma":[0.08314939,0.07818513,0.00890809,0.5420542,0.278094,0.000283591,0.000133726,0.0006200243,0.008571918],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03421743,"threshold_uncertainty_score":0.1039019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05800406682922504,"score_gpt":0.3880938944926888,"score_spread":0.3300898276634637,"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."}}