{"id":"W2895554266","doi":"10.1186/s12913-018-3552-5","title":"The associations between staffing hours and quality of care indicators in long-term care","year":2018,"lang":"en","type":"article","venue":"BMC Health Services Research","topic":"Geriatric Care and Nursing Homes","field":"Health Professions","cited_by":96,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of Waterloo; Toronto Metropolitan University; Research Institute for Aging; Conestoga College","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Nursing research; Staffing; Health administration; Medicine; Health informatics; Public health; Nursing; Long-term care; Quality (philosophy); Term (time); Health services research","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":[0.002020193,0.0001574104,0.0001966282,0.0008329366,0.0005114251,0.000702854,0.0005909238,0.0002241001,0.0008605414],"category_scores_gemma":[0.009382369,0.0001175902,0.000283499,0.001582616,0.0005196505,0.0003621134,0.0006797661,0.0004224994,0.00007024576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004106946,"about_ca_system_score_gemma":0.003003211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.243555,"about_ca_topic_score_gemma":0.3340969,"domain_scores_codex":[0.9984081,0.0002938749,0.0001763741,0.0001964817,0.0006591894,0.000266066],"domain_scores_gemma":[0.985748,0.001673714,0.007804499,0.0003494101,0.002845361,0.001578999],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001150046,0.000007390137,0.998813,0.000009582081,0.00002440889,0.000005364265,0.0001263744,0.00005656499,0.00001931919,0.00000943671,0.00005314539,0.0008639555],"study_design_scores_gemma":[4.131878e-7,0.00001006525,0.9997426,0.000004909912,0.000004010848,0.000005896525,0.00009017452,0.00007750885,0.00001054511,0.000007224015,0.00004539759,0.000001121461],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985947,0.0002421045,0.0002477081,0.00009031622,0.000003588352,0.00000913787,0.0004192249,0.000004851054,0.0003883283],"genre_scores_gemma":[0.9995537,0.00004688992,0.0001427291,0.00001109689,0.000003425654,0.00000708965,0.0001839628,0.000001045952,0.00004990041],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.243555,"threshold_uncertainty_score":0.4842747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1266123819155295,"score_gpt":0.548908858999892,"score_spread":0.4222964770843625,"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."}}