{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001048368,0.000183147,0.0006224986,0.000670929,0.000213932,0.000009212829,0.0002571872,0.0001812358,0.00000404305],"category_scores_gemma":[0.00007222431,0.0001314198,0.0001306904,0.001165377,0.00003478155,0.0001777812,0.0000150852,0.0009223081,0.000008319436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001090015,"about_ca_system_score_gemma":0.0003863218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004577156,"about_ca_topic_score_gemma":0.00004824105,"domain_scores_codex":[0.9968151,0.0008922129,0.001144821,0.0001935201,0.0004277572,0.000526616],"domain_scores_gemma":[0.9977062,0.0008160861,0.0007237394,0.0002712269,0.0003644888,0.0001182515],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"qualitative","study_design_scores_codex":[0.007940988,0.0004541946,0.003663543,0.002223581,0.00006459215,0.0004878521,0.2275429,0.3697892,0.004243373,0.002149211,0.0159868,0.3654537],"study_design_scores_gemma":[0.01202479,0.003309962,0.0848222,0.1365444,0.0001166313,0.00007696203,0.726187,0.02585197,0.00246444,0.00705249,0.0007172052,0.0008319537],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9565638,0.004957998,0.003241523,0.02725363,0.005887512,0.00129829,0.000007234327,0.00006874192,0.0007212546],"genre_scores_gemma":[0.9973336,0.0001112808,0.001984653,0.0001348172,0.0003535829,0.00001268643,0.000001995581,0.00003256504,0.00003482964],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4986441,"threshold_uncertainty_score":0.5359145,"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."}}