{"id":"W2404093531","doi":"10.1017/s0714980816000192","title":"Staffing in Ontario’s Long-Term Care Homes: Differences by Profit Status and Chain Ownership","year":2016,"lang":"fr","type":"article","venue":"Canadian Journal on Aging / La Revue canadienne du vieillissement","topic":"Geriatric Care and Nursing Homes","field":"Health Professions","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Health Services and Policy Research; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Staffing; Long-term care; Nursing homes; Business; For profit; Profit (economics); Residential care; Assisted Living Facility; Nursing; Finance; Medicine; Economics","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":[0.0009821123,0.0001829178,0.0002064203,0.001077023,0.001915156,0.001396537,0.0009855378,0.0002939008,0.00335051],"category_scores_gemma":[0.00342542,0.0003033115,0.000410219,0.002855127,0.001092831,0.0005931716,0.001107092,0.0003332791,0.000278449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02384474,"about_ca_system_score_gemma":0.02026816,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9751671,"about_ca_topic_score_gemma":0.9911437,"domain_scores_codex":[0.9989203,0.00009244706,0.00007055196,0.0001263341,0.0004342758,0.0003561819],"domain_scores_gemma":[0.9948925,0.0004328916,0.001569711,0.0001522661,0.001655064,0.001297661],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006004656,0.00002039736,0.9895466,0.00002830192,0.00002345336,0.00005555518,0.005133342,0.00008408638,0.0001924305,0.0001421574,0.0006759176,0.004037838],"study_design_scores_gemma":[0.000001643545,0.00001266107,0.9944481,0.00002215953,0.000006084839,0.000009688205,0.004589938,0.00006656547,0.00002183964,0.00001297736,0.000804735,0.000003756108],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962988,0.0002266993,0.00008846985,0.0002593881,0.000006582768,0.00001650019,0.0008544352,0.000003377758,0.002245757],"genre_scores_gemma":[0.9975031,0.0001797784,0.0001200957,0.00003425707,0.000004473863,0.00001988339,0.0004093312,0.000002745621,0.00172631],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0248329,"threshold_uncertainty_score":0.1730065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0212059771257634,"score_gpt":0.2637360264918396,"score_spread":0.2425300493660762,"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."}}