{"id":"W4312969018","doi":"10.2196/40312","title":"Assessment and Improvement of Drug Data Structuredness From Electronic Health Records: Algorithm Development and Validation","year":2022,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medical prescription; Computer science; Context (archaeology); Data mining; Standardization; Drug; Algorithm; Medicine; Pharmacology","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":[0.05358877,0.001376705,0.001311376,0.007921931,0.0009113617,0.003542707,0.001852267,0.001820525,0.0008150156],"category_scores_gemma":[0.1343576,0.0005330546,0.001895592,0.004281395,0.001357643,0.003218762,0.002691137,0.001962103,0.000455177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001769234,"about_ca_system_score_gemma":0.005193924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003363265,"about_ca_topic_score_gemma":0.002165677,"domain_scores_codex":[0.9730295,0.0157868,0.003425617,0.003504972,0.003848514,0.0004045024],"domain_scores_gemma":[0.8699178,0.09669041,0.007841607,0.006660238,0.01815043,0.0007394642],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008492165,0.001459708,0.2197231,0.001121328,0.001212978,0.000156893,0.001227509,0.1164145,0.005686912,0.004181599,0.002926914,0.6450394],"study_design_scores_gemma":[0.0001996124,0.000613936,0.03034546,0.0004044417,0.0003041764,0.00030426,0.0006010733,0.9487602,0.009436112,0.006224479,0.002744594,0.00006170649],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2745929,0.001431621,0.7156923,0.0009060277,0.00009248558,0.002325115,0.001161543,0.00241416,0.001383855],"genre_scores_gemma":[0.2570061,0.0003208484,0.739325,0.0001268599,0.00003377375,0.0008657385,0.002112869,0.000072613,0.0001361724],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05358877,"threshold_uncertainty_score":0.2834079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01956480893807922,"score_gpt":0.3415147273989733,"score_spread":0.3219499184608941,"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."}}