{"id":"W4384926146","doi":"10.1002/phar.2856","title":"Empiric dosing strategies to predict lamotrigine concentrations during pregnancy","year":2023,"lang":"en","type":"article","venue":"Pharmacotherapy The Journal of Human Pharmacology and Drug Therapy","topic":"Pharmacological Effects and Toxicity Studies","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Xenon Pharmaceuticals (Canada)","funders":"National Institute of Child Health and Human Development; National Institutes of Health; H. Lundbeck A/S; National Institute of Neurological Disorders and Stroke; Sunovion; Epilepsy Society; Epilepsy Foundation; Eisai; University of Minnesota; Eunice Kennedy Shriver National Institute of Child Health and Human Development; Angelini Pharma; SK Life Science; Pfizer","keywords":"Dosing; Pharmacokinetics; Medicine; Toxicity; Lamotrigine; Population; Regimen; Pregnancy; Pharmacology; Epilepsy; Anesthesia; Internal medicine; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00112559,0.0007655512,0.0006086914,0.0006009389,0.0002194483,0.000744772,0.0009672255,0.0007415073,0.00216236],"category_scores_gemma":[0.01095374,0.0004873512,0.0004006518,0.0003207921,0.0001810521,0.0005230034,0.0004823472,0.0007797439,0.0004291199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001336555,"about_ca_system_score_gemma":0.002180868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01025228,"about_ca_topic_score_gemma":0.007485599,"domain_scores_codex":[0.9994534,0.0003158994,0.00003686927,0.00008472838,0.00006929907,0.00003984242],"domain_scores_gemma":[0.9971956,0.001945091,0.0004026462,0.00009877088,0.0002729816,0.00008498051],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.000310708,0.00009670941,0.04003959,0.00008962508,0.00009502683,0.0002177627,0.00009512031,0.9197977,0.001185978,0.001477408,0.001548693,0.03504584],"study_design_scores_gemma":[0.00009388061,0.0001963362,0.004118824,0.00007515298,0.00006893684,0.0001062031,0.00004153771,0.9900878,0.001552161,0.002248041,0.001395192,0.00001601127],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6227177,0.003060037,0.349316,0.003725791,0.0001206846,0.0008082683,0.002657586,0.001413251,0.01618057],"genre_scores_gemma":[0.9717211,0.0004712115,0.0262641,0.000183013,0.00001345061,0.0001802348,0.0004001722,0.00003712211,0.0007295856],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01025228,"threshold_uncertainty_score":0.02038521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04066961896809564,"score_gpt":0.3870117534605524,"score_spread":0.3463421344924568,"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."}}