{"id":"W4312103358","doi":"10.1093/geroni/igac059.1520","title":"SUPPORTING NURSING HOME MANAGERS TO ACT ON PERFORMANCE FEEDBACK DATA: A PROVINCEWIDE IMPLEMENTATION","year":2022,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Geriatric Care and Nursing Homes","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; Translational Research in Oncology; University of Calgary; Michael Smith Health Research BC; University of Alberta","funders":"","keywords":"Interim; Fidelity; Long-term care; Intervention (counseling); Adaptation (eye); Process (computing); Nursing; Process management; Business; Psychology; Medicine; Computer science; Geography","routes":{"ca_aff":true,"ca_fund":false,"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":[0.05521989,0.001050522,0.0009064357,0.001743783,0.006012104,0.003247204,0.005316772,0.001704891,0.002940189],"category_scores_gemma":[0.03856782,0.001310539,0.001343552,0.001664747,0.002507682,0.001227701,0.004959943,0.002708326,0.0006196523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04983317,"about_ca_system_score_gemma":0.2279944,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7377214,"about_ca_topic_score_gemma":0.8255345,"domain_scores_codex":[0.9741993,0.01133412,0.001372183,0.001622823,0.005605135,0.005866293],"domain_scores_gemma":[0.9451367,0.01254403,0.002828034,0.004880095,0.02175881,0.01285248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.01038576,0.07990922,0.1661462,0.004746306,0.0006417689,0.001425536,0.05208807,0.0070576,0.01809364,0.001123986,0.01416343,0.6442184],"study_design_scores_gemma":[0.01175535,0.05576134,0.8064755,0.001769092,0.000691068,0.0003374013,0.06299375,0.007303857,0.01438661,0.0005129333,0.03756879,0.0004443801],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9571826,0.0002843987,0.004227663,0.002483569,0.00008130292,0.02709856,0.001343023,0.0006647598,0.006633988],"genre_scores_gemma":[0.9329559,0.0004651033,0.04531824,0.001002978,0.0000275697,0.01390021,0.001612656,0.00008990485,0.004627394],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7377214,"threshold_uncertainty_score":0.5276464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07277578090668212,"score_gpt":0.4635075639988662,"score_spread":0.3907317830921841,"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."}}