{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001628606,0.0001170112,0.0002272912,0.00008363378,0.0002462235,0.00005650108,0.0008794265,0.00003741283,0.00006017019],"category_scores_gemma":[0.00003260883,0.0001059803,0.000009436307,0.0001852027,0.00003894985,0.0003518881,0.002159406,0.0005679498,5.185581e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000250517,"about_ca_system_score_gemma":0.001560081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003167946,"about_ca_topic_score_gemma":0.00003766208,"domain_scores_codex":[0.9975684,0.0001282519,0.0007408498,0.0002053556,0.001071537,0.0002855904],"domain_scores_gemma":[0.998638,0.0001294034,0.0004145534,0.0005645955,0.00003876465,0.0002146996],"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":[0.000001699638,0.00003121392,0.001274585,0.0001857912,0.00001833914,8.854215e-7,0.01044177,0.00001143257,0.000001054526,0.001824816,0.0005530701,0.9856554],"study_design_scores_gemma":[0.0009576959,0.0004130543,0.01538416,0.00008258966,0.000005533878,0.00002584827,0.003877881,0.9460337,0.00006354968,0.001956218,0.03094386,0.0002559331],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5655944,0.0003429598,0.4288046,0.003716792,0.0004995958,0.0007790544,0.00009387464,0.0001015901,0.00006711891],"genre_scores_gemma":[0.4915156,0.0001779775,0.5044612,0.002752628,0.00006835692,0.000122868,0.0008650953,0.00001361622,0.00002264512],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9853994,"threshold_uncertainty_score":0.4321751,"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."}}