{"id":"W2136479743","doi":"10.12927/hcq.2008.20088","title":"ICES Report: Using Data from Electronic Medical Records: Theory versus Practice","year":2008,"lang":"en","type":"article","venue":"Healthcare Quarterly","topic":"Medical Coding and Health Information","field":"Health Professions","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"Canadian Institutes of Health Research","keywords":"Best practice; Medical record; Health records; Electronic medical record; Medicine; Medical emergency; Family medicine; Business; Psychology; Health care; Political science; Surgery","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.1821406,0.0006839624,0.001068095,0.007713554,0.001821572,0.01313095,0.002673835,0.00376616,0.009105089],"category_scores_gemma":[0.4875411,0.0005068408,0.001064217,0.01353157,0.004458094,0.01118645,0.004133516,0.004484115,0.002466542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006191397,"about_ca_system_score_gemma":0.01816064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03112136,"about_ca_topic_score_gemma":0.01830262,"domain_scores_codex":[0.8840801,0.05180303,0.01167375,0.005021591,0.04534797,0.002073487],"domain_scores_gemma":[0.2652106,0.5410075,0.03359685,0.0451098,0.108719,0.006356322],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004047947,0.000290804,0.1529058,0.001365246,0.000269681,0.0001738326,0.003227066,0.001707772,0.0001845662,0.1174388,0.5765826,0.1454491],"study_design_scores_gemma":[0.0003259477,0.000423222,0.1560693,0.01247692,0.000724072,0.000683089,0.01200214,0.01115984,0.003784769,0.07250073,0.7295827,0.000267238],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.08220333,0.01121403,0.08596248,0.4976131,0.01962784,0.002693933,0.09226344,0.001841626,0.2065801],"genre_scores_gemma":[0.5534579,0.01536544,0.1729286,0.09678052,0.02171169,0.00432102,0.09495053,0.002371829,0.03811246],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1821406,"threshold_uncertainty_score":0.9632632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4118295878288731,"score_gpt":0.5300640823479512,"score_spread":0.1182344945190781,"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."}}