{"id":"W4321604926","doi":"10.2196/preprints.46749","title":"A Call for Standardization of Clinical Content for EMRs in Primary Care across Canada (Preprint)","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Library Science and Information Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Standardization; Preprint; Primary care; Consistency (knowledge bases); Medical record; Medicine; Library science; Family medicine; Computer science; World Wide Web; Operating system","routes":{"ca_aff":false,"ca_fund":false,"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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1435918,0.0009472923,0.002133734,0.01013361,0.009858077,0.02699604,0.01100812,0.008668817,0.02112958],"category_scores_gemma":[0.2895924,0.001891613,0.0027098,0.01952424,0.01430377,0.01293953,0.01179529,0.01036823,0.007321163],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1132878,"about_ca_system_score_gemma":0.4675857,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8903437,"about_ca_topic_score_gemma":0.8505667,"domain_scores_codex":[0.887933,0.03199181,0.01438017,0.00629247,0.04980643,0.009596207],"domain_scores_gemma":[0.4062383,0.09037165,0.03006526,0.07816949,0.3364869,0.05866839],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001880416,0.0002144649,0.01589622,0.001208523,0.0001015339,0.0001872931,0.003467743,0.001580351,0.001599598,0.02597194,0.7524826,0.1971018],"study_design_scores_gemma":[0.000222501,0.0002842465,0.1098437,0.002936293,0.00011323,0.0003415684,0.007348269,0.001842969,0.001935116,0.01612567,0.8585937,0.0004127684],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.0158231,0.005669827,0.02941701,0.8881507,0.01080609,0.002666709,0.00653969,0.004544469,0.03638239],"genre_scores_gemma":[0.1811917,0.00967736,0.3504957,0.3348896,0.01004262,0.003702053,0.0263339,0.004493392,0.0791736],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8867121,"threshold_uncertainty_score":0.8219647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1353219287410736,"score_gpt":0.3591620592005005,"score_spread":0.223840130459427,"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."}}