{"id":"W4402510000","doi":"10.2196/59619","title":"Calculating Optimal Patient to Nursing Capacity: Comparative Analysis of Traditional and New Methods","year":2024,"lang":"en","type":"article","venue":"JMIR Nursing","topic":"Nursing education and management","field":"Nursing","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Department of Veterans Affairs","keywords":"Preprint; Nursing; Medicine; Computer science; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03599487,0.0007636786,0.0009760123,0.004785867,0.0004334678,0.001783115,0.00158641,0.0006656398,0.004285318],"category_scores_gemma":[0.1266918,0.0003970145,0.001364606,0.002877619,0.0008668937,0.002295639,0.001759952,0.001027494,0.000407556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00290031,"about_ca_system_score_gemma":0.001686239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00411608,"about_ca_topic_score_gemma":0.005969144,"domain_scores_codex":[0.9670776,0.02212463,0.001829687,0.001680435,0.006948811,0.0003389218],"domain_scores_gemma":[0.7750105,0.2013878,0.006286793,0.003919386,0.01212255,0.001272998],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.006575655,0.001143836,0.1453426,0.002009897,0.001782228,0.0001224131,0.001924488,0.02405805,0.0006410035,0.004346794,0.002931479,0.8091215],"study_design_scores_gemma":[0.002293598,0.01526949,0.4256887,0.002493987,0.002364293,0.001534834,0.005374022,0.5047098,0.004997082,0.01406837,0.02060386,0.0006018906],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6770219,0.02413714,0.2615014,0.001529645,0.000911261,0.003344021,0.00157612,0.0008716297,0.02910688],"genre_scores_gemma":[0.7850278,0.00538959,0.2041466,0.000317449,0.0002785977,0.00209636,0.0005800984,0.0002393721,0.001924057],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03599487,"threshold_uncertainty_score":0.1903614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.133700686524974,"score_gpt":0.4402531784598204,"score_spread":0.3065524919348465,"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."}}