{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007313527,0.000292338,0.0005299308,0.0003083151,0.0007306848,0.00004751739,0.0002602993,0.00005911492,0.0004640883],"category_scores_gemma":[0.00001326217,0.0001753317,0.0001608517,0.000558851,0.0002828547,0.000263888,0.00005501175,0.0005888887,0.00001327679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005511524,"about_ca_system_score_gemma":0.0001016416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005949651,"about_ca_topic_score_gemma":0.000001853187,"domain_scores_codex":[0.9980751,0.0003687441,0.0005583765,0.0002085527,0.0003128329,0.0004763608],"domain_scores_gemma":[0.9986976,0.0004376823,0.0002839545,0.0001128562,0.0001876649,0.0002802618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002143233,0.0003159968,0.002831749,0.00007593726,0.0008974735,0.0002198475,0.004156003,0.0002965471,0.9719167,0.0000543058,0.01396151,0.003130691],"study_design_scores_gemma":[0.03396879,0.003650006,0.05884045,0.000463707,0.001064608,0.0008930794,0.001681936,0.000543632,0.8724024,0.001129699,0.02472105,0.0006405904],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9753146,0.01149353,0.00006346015,0.01125009,0.0006020226,0.0009062643,0.000007462011,0.0001200193,0.0002425947],"genre_scores_gemma":[0.961208,0.03345264,0.00003535031,0.004008401,0.0008096726,0.00003650105,0.000001883036,0.0000336887,0.0004138964],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09951426,"threshold_uncertainty_score":0.714982,"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."}}