{"id":"W3152045758","doi":"10.1007/s11095-021-03035-7","title":"Chiral Transplacental Pharmacokinetics of Fexofenadine: Impact of P-Glycoprotein Inhibitor Fluoxetine Using the Human Placental Perfusion Model","year":2021,"lang":"en","type":"article","venue":"Pharmaceutical Research","topic":"Pharmacological Effects and Toxicity Studies","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Michael's Hospital; University of Toronto; Hospital for Sick Children","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Fexofenadine; Transplacental; Pharmacokinetics; Chemistry; Pharmacology; Terfenadine; Enantiomer; In vivo; Endocrinology; Fetus; Placenta; Stereochemistry; Medicine; Biology; Pregnancy","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":[0.0003419938,0.000283829,0.0003757825,0.0002143628,0.0002114065,0.0006468515,0.0002570604,0.0003024369,0.001666679],"category_scores_gemma":[0.0006092306,0.0001925441,0.0002803285,0.0002223443,0.0003568721,0.0005802289,0.0002104175,0.0008462471,0.0002148236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006720367,"about_ca_system_score_gemma":0.001061129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0063335,"about_ca_topic_score_gemma":0.004889951,"domain_scores_codex":[0.9998264,0.00006623148,0.000005554852,0.00004066015,0.00003240832,0.00002879337],"domain_scores_gemma":[0.9998285,0.00006251582,0.00003611667,0.00003121854,0.00001494734,0.00002674593],"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":[0.02803766,0.0008220048,0.008085229,0.0005573931,0.0002127417,0.002312154,0.0005882435,0.002063609,0.8829711,0.002195234,0.001793832,0.07036079],"study_design_scores_gemma":[0.0009424381,0.01488834,0.02830862,0.0000712282,0.0007034396,0.003445148,0.001057547,0.01941869,0.9124356,0.0008553373,0.0177922,0.00008155589],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.982385,0.007675054,0.005339968,0.0004752843,0.0001111676,0.0000775398,0.0005285225,0.0001107563,0.003296708],"genre_scores_gemma":[0.9922351,0.004244151,0.001690499,0.0001088468,0.00002439983,0.00003681883,0.0002174872,0.00002718625,0.001415456],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0063335,"threshold_uncertainty_score":0.01259327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2498064100145454,"score_gpt":0.5386343965172907,"score_spread":0.2888279865027453,"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."}}