{"id":"W4213036259","doi":"10.2196/32415","title":"Correction: Predicting Antituberculosis Drug–Induced Liver Injury Using an Interpretable Machine Learning Method: Model Development and Validation Study","year":2021,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Drug-Induced Hepatotoxicity and Protection","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Liver injury; Drug development; Drug; Artificial intelligence; Machine learning; Medicine; Medical physics; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002555257,0.0002517835,0.0003404505,0.0001691204,0.000789764,0.00009250453,0.0001578526,0.0004446623,0.000362839],"category_scores_gemma":[0.0003385342,0.0002516169,0.00005016151,0.0003555703,0.00005483048,0.0008201445,0.0002503392,0.001930029,0.00001961171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001644543,"about_ca_system_score_gemma":0.0003655396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009821712,"about_ca_topic_score_gemma":0.0001113941,"domain_scores_codex":[0.9971956,0.0008815026,0.0008080808,0.0002414754,0.0005080677,0.0003652865],"domain_scores_gemma":[0.9987327,0.0002564123,0.0002714142,0.0001620841,0.0001846591,0.0003927037],"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":[0.000397699,0.003060787,0.05827224,0.0007522368,0.0007219463,0.00009458166,0.2018672,0.03055422,0.01298723,0.0001087351,0.0003354056,0.6908477],"study_design_scores_gemma":[0.0007699224,0.0001222999,0.0003130109,0.00009118969,0.0001036281,0.0001140484,0.005657726,0.9349432,0.05552721,0.00001952536,0.002075266,0.0002630042],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9712929,0.00003771408,0.02545909,0.00004786931,0.001178485,0.0006038281,0.000006386765,0.0001779378,0.001195745],"genre_scores_gemma":[0.9893283,0.00005852756,0.009346967,0.0006782239,0.0001522313,0.00008577937,0.00006272097,0.00002333103,0.0002638931],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.904389,"threshold_uncertainty_score":0.9999936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1349437411396076,"score_gpt":0.4463673666322791,"score_spread":0.3114236254926714,"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."}}