{"id":"W2307846193","doi":"10.18433/j38g7x","title":"Coupling Genotyping and Computational Modeling in Prediction of Anti-epileptic Drugs that cause Stevens Johnson Syndrome and Toxic Epidermal Necrolysis for Carrier of HLA-B*15:02","year":2016,"lang":"en","type":"article","venue":"Journal of Pharmacy & Pharmaceutical Sciences","topic":"Drug-Induced Adverse Reactions","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Carbamazepine; Toxic epidermal necrolysis; Oxcarbazepine; Lamotrigine; Phenytoin; Primidone; Epilepsy; Medicine; Phenobarbital; Genotyping; Pharmacology; Dermatology; Genotype; Genetics; Biology; Psychiatry","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":[0.001515015,0.0001521041,0.0004977884,0.0004592239,0.0001276168,0.00001989479,0.0001066118,0.00004694201,0.00001783494],"category_scores_gemma":[0.0002068753,0.0001069802,0.0001232882,0.0003482886,0.0003922542,0.0006703401,0.00004950007,0.0002303898,3.35295e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001074487,"about_ca_system_score_gemma":0.0002628872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002453948,"about_ca_topic_score_gemma":0.000001790999,"domain_scores_codex":[0.9980287,0.00005968359,0.0007758927,0.0002419635,0.0005864779,0.0003072935],"domain_scores_gemma":[0.9983457,0.0006598604,0.0003918474,0.00006119996,0.0002495984,0.0002918176],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003378534,0.0004918582,0.1671826,0.0005933142,0.0004863976,0.00008256983,0.001658846,0.1072102,0.6554305,0.000120088,0.00001467814,0.06639104],"study_design_scores_gemma":[0.005792363,0.0001387097,0.0301605,0.0007512914,0.0006659949,0.0009429642,0.0007823956,0.9372261,0.02294534,0.0001841403,0.0002646222,0.0001455903],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920123,0.001072279,0.005140443,0.001173552,0.0002374176,0.0002907944,0.0000369484,0.000008317937,0.00002791247],"genre_scores_gemma":[0.9970694,0.00113729,0.001600006,0.00007391404,0.00009748113,0.000003925231,0.000001029376,0.0000117301,0.000005246157],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8300158,"threshold_uncertainty_score":0.4362524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1235183764863898,"score_gpt":0.3852340277826578,"score_spread":0.2617156512962679,"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."}}