{"id":"W4409430890","doi":"10.2196/65481","title":"AI-Powered Drug Classification and Indication Mapping for Pharmacoepidemiologic Studies: Prompt Development and Validation","year":2025,"lang":"en","type":"article","venue":"JMIR AI","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Preprint; Computer science; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009932432,0.0001027396,0.000154172,0.0001582209,0.0002755345,0.00006727241,0.0001828218,0.00005099862,9.730463e-7],"category_scores_gemma":[0.0003025018,0.00009280545,0.00001358968,0.0002450012,0.00003293637,0.0002333849,0.0001365363,0.0001455775,0.000002392458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009474029,"about_ca_system_score_gemma":0.00009801052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004353954,"about_ca_topic_score_gemma":0.00000237279,"domain_scores_codex":[0.9988651,0.0001668177,0.0003128027,0.0004015534,0.00009329415,0.0001604334],"domain_scores_gemma":[0.9991508,0.0003259036,0.0001632482,0.000180074,0.0001381685,0.00004181603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00003040373,0.00009254082,0.1633809,0.002184254,0.0001164614,9.11989e-7,0.02949762,0.00007348524,0.00143526,0.08935148,0.01606357,0.6977731],"study_design_scores_gemma":[0.001392497,0.00009140969,0.5775874,0.0004708662,0.00001973495,0.000005476686,0.0012645,0.2723373,0.00207416,0.02483701,0.1194404,0.0004792025],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3902586,0.001580524,0.5155768,0.08945011,0.0004170496,0.00226172,0.00000190867,0.0002989511,0.0001543254],"genre_scores_gemma":[0.9533849,0.00008155776,0.04246137,0.003057524,0.00003399475,0.000765041,0.00001978718,0.00000484275,0.0001909774],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6972939,"threshold_uncertainty_score":0.3784496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09121621506466121,"score_gpt":0.4358894887411843,"score_spread":0.3446732736765231,"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."}}