{"id":"W3003985767","doi":"10.23889/ijpds.v5i1.1123","title":"Unlocking the Potential of Electronic Health Records for Health Research","year":2020,"lang":"en","type":"article","venue":"International Journal for Population Data Science","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health; University of Calgary; Alberta Health Services","funders":"","keywords":"Health records; Electronic health record; Data science; Computer science; Health care; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.23932,0.0009841148,0.001513814,0.01253453,0.003373029,0.02362413,0.005575191,0.007395044,0.007141751],"category_scores_gemma":[0.3254127,0.001778269,0.00169312,0.0128351,0.02276655,0.06246862,0.01780387,0.01188234,0.003580355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005870067,"about_ca_system_score_gemma":0.01844291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005930307,"about_ca_topic_score_gemma":0.005039675,"domain_scores_codex":[0.8304109,0.1190022,0.009389822,0.005494087,0.03320488,0.00249811],"domain_scores_gemma":[0.315174,0.5691823,0.01278885,0.06379484,0.03222629,0.006833708],"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":[0.0002283247,0.0001118352,0.006411102,0.002339678,0.0001338398,0.0002546731,0.006511696,0.0009664369,0.001002592,0.51548,0.03120241,0.4353573],"study_design_scores_gemma":[0.0001152281,0.0002047086,0.005752231,0.006548625,0.0001382644,0.001064615,0.004682837,0.004095511,0.0009776345,0.5139754,0.4622127,0.0002321938],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02097058,0.1128273,0.226067,0.5693378,0.004842207,0.00055359,0.001734242,0.001751907,0.06191536],"genre_scores_gemma":[0.2778783,0.1140588,0.5102286,0.05743937,0.02621423,0.001099524,0.001836712,0.0009147622,0.01032989],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.23932,"threshold_uncertainty_score":0.9380539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4504956564272377,"score_gpt":0.6276072710141566,"score_spread":0.1771116145869189,"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."}}