{"id":"W1857664388","doi":"10.2196/medinform.4192","title":"Disrupting Electronic Health Records Systems: The Next Generation","year":2015,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health records; Electronic health record; Computer science; Computer security; Health care; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.01536419,0.0008321128,0.0006115439,0.001448266,0.002475127,0.009927097,0.003275919,0.008113569,0.00716878],"category_scores_gemma":[0.02283275,0.000610297,0.0009726449,0.001794736,0.005408716,0.02397924,0.005706806,0.005255612,0.002451784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003534614,"about_ca_system_score_gemma":0.006915244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003582583,"about_ca_topic_score_gemma":0.003305758,"domain_scores_codex":[0.9881606,0.005457981,0.0006073698,0.0007147998,0.003860486,0.001198797],"domain_scores_gemma":[0.97982,0.009547251,0.00193869,0.002904384,0.003833231,0.001956437],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002200923,0.0003860154,0.01303243,0.000981709,0.00008964757,0.0008366818,0.005621775,0.003271805,0.004486258,0.2600276,0.07819059,0.6328555],"study_design_scores_gemma":[0.00005383375,0.0006099512,0.00742848,0.001623646,0.0001439348,0.002435008,0.01105543,0.0131523,0.003071166,0.227455,0.7327783,0.0001929422],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.06589813,0.0785495,0.1861988,0.58864,0.007995759,0.0002689754,0.0002757061,0.002681418,0.06949177],"genre_scores_gemma":[0.5627625,0.09620199,0.2236501,0.08197883,0.009707675,0.0003796189,0.0006027221,0.0007492929,0.02396724],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01536419,"threshold_uncertainty_score":0.08125454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1770978745155656,"score_gpt":0.4683857871961463,"score_spread":0.2912879126805807,"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."}}