{"id":"W1993431958","doi":"10.12927/hcpol.2011.22221","title":"Prioritizing Information for Quality Improvement Using Resident Assessment Instrument Data: Experiences in One Canadian Province","year":2011,"lang":"en","type":"article","venue":"Healthcare policy","topic":"Geriatric Care and Nursing Homes","field":"Health Professions","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Saskatchewan Health; University of Alberta","funders":"Fondation pour la Recherche Médicale; University of Alberta; Canadian Health Services Research Foundation","keywords":"Work (physics); Quality (philosophy); Quality management; Prioritization; Nursing; Health care; Medicine; Business; Process management; Marketing; Political science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.02270514,0.0003396573,0.0005008125,0.002069521,0.01114212,0.00302478,0.002181896,0.000755591,0.00192886],"category_scores_gemma":[0.05443057,0.0004571268,0.0003000294,0.007466765,0.002121242,0.0009026328,0.002647583,0.001112154,0.0001376478],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1111005,"about_ca_system_score_gemma":0.2596916,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9928645,"about_ca_topic_score_gemma":0.9952231,"domain_scores_codex":[0.9801452,0.006064515,0.001040208,0.0006546334,0.007768884,0.004326548],"domain_scores_gemma":[0.9575697,0.01257216,0.002618324,0.001091034,0.01940595,0.006742893],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008635815,0.0008531408,0.3761776,0.001298087,0.0001001765,0.001817826,0.3424623,0.003815891,0.002321273,0.004394763,0.02048552,0.2454098],"study_design_scores_gemma":[0.0001573205,0.0005836457,0.4464391,0.0008391147,0.00006676353,0.0002777505,0.4744387,0.005568097,0.00185908,0.0009448029,0.06861156,0.0002142067],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9805545,0.0006645385,0.001716468,0.005293446,0.00002876264,0.001039588,0.0007093776,0.00006020729,0.009933127],"genre_scores_gemma":[0.992493,0.0004884335,0.004163892,0.0004681875,0.000008848118,0.0001354924,0.0003381446,0.0000151905,0.001888937],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8888996,"threshold_uncertainty_score":0.8060941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3665735518482033,"score_gpt":0.512475366213567,"score_spread":0.1459018143653638,"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."}}