{"id":"W4293242848","doi":"10.1089/ipm.09.04.09","title":"Electronic Health Records and Genomic Data – Not Yet a Perfect Match","year":2022,"lang":"en","type":"article","venue":"Inside Precision Medicine","topic":"Healthcare Systems and Reforms","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"CARE Canada","funders":"","keywords":"Download; Health records; Medical record; Genomic medicine; Health care; Medicine; Library science; Internet privacy; Family medicine; Internal medicine; Computer science; World Wide Web; Biology; Political science; Computational biology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.04276437,0.0007050423,0.00243684,0.00381424,0.001635494,0.01405248,0.002767486,0.008333894,0.01865031],"category_scores_gemma":[0.1673187,0.001504403,0.0009687985,0.006414115,0.01036722,0.0551924,0.008472043,0.01036692,0.003662414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00392534,"about_ca_system_score_gemma":0.005147446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004201021,"about_ca_topic_score_gemma":0.002424221,"domain_scores_codex":[0.9629033,0.02176206,0.002455734,0.003895102,0.007253742,0.001730153],"domain_scores_gemma":[0.8591879,0.0997808,0.01052157,0.01480534,0.01110785,0.004596533],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004121619,0.0001887638,0.01660335,0.0009218022,0.0005416165,0.0004788737,0.0007095507,0.002633994,0.0003186068,0.7647315,0.05668359,0.1557761],"study_design_scores_gemma":[0.000113717,0.0001336218,0.006501577,0.001727062,0.0001176187,0.000445627,0.001761065,0.002763557,0.0002860601,0.9222443,0.06377868,0.0001272412],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.03045923,0.06076133,0.08346457,0.7703077,0.01011579,0.0001224515,0.002918187,0.0003135208,0.04153724],"genre_scores_gemma":[0.7297981,0.04907194,0.05887981,0.1291344,0.01808223,0.0004261003,0.002919241,0.0004116933,0.01127646],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.04276437,"threshold_uncertainty_score":0.2261623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09667656309303478,"score_gpt":0.3122057053274593,"score_spread":0.2155291422344245,"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."}}