{"id":"W2901965260","doi":"10.12927/hcq.2018.25630","title":"Integrating Population-Wide Laboratory Testing Data with Audit and Feedback Reports for Ontario Physicians","year":2018,"lang":"en","type":"article","venue":"Healthcare Quarterly","topic":"Diabetes Management and Education","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ontario Ministry of Health and Long-Term Care; Institute for Clinical Evaluative Sciences","keywords":"Audit; Confidentiality; Glycemic; Medicine; Family medicine; Health care; Population; Control (management); Medical education; Diabetes mellitus; Business; Environmental health; Accounting; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.04717879,0.0003628991,0.0004809595,0.002746396,0.001460271,0.002838902,0.001224749,0.0004144789,0.00115409],"category_scores_gemma":[0.1901681,0.0006827801,0.0004478741,0.006599177,0.0006518678,0.001468558,0.002121237,0.0004477307,0.0002740227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02572255,"about_ca_system_score_gemma":0.0527762,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8523213,"about_ca_topic_score_gemma":0.8600934,"domain_scores_codex":[0.9467616,0.03121034,0.004790464,0.001663855,0.01336148,0.00221221],"domain_scores_gemma":[0.7855085,0.08466802,0.0363299,0.01557487,0.07227701,0.005641633],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005983419,0.0002737573,0.8833865,0.0002927879,0.00009885026,0.00009040187,0.005897808,0.001807553,0.0008932358,0.0001515023,0.004236511,0.1022727],"study_design_scores_gemma":[0.000112064,0.0004415959,0.9764361,0.0002266024,0.0001418762,0.00005111971,0.003631738,0.007989471,0.001040242,0.0001042188,0.009761351,0.00006374279],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9638175,0.0008900347,0.009818451,0.004956249,0.00008044537,0.002716376,0.006378931,0.0007691634,0.01057287],"genre_scores_gemma":[0.9820739,0.0003888116,0.0137061,0.0003397335,0.00004982473,0.0005656523,0.001999089,0.00002769807,0.0008492123],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1476787,"threshold_uncertainty_score":0.2970967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03878231113950215,"score_gpt":0.3135094643971016,"score_spread":0.2747271532575994,"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."}}