{"id":"W4400213051","doi":"10.1021/acs.molpharmaceut.4c00526","title":"Parameterization of Physiologically Based Biopharmaceutics Models: Workshop Summary Report","year":2024,"lang":"en","type":"review","venue":"Molecular Pharmaceutics","topic":"Protein purification and stability","field":"Biochemistry, Genetics and Molecular Biology","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada; University of Alberta","funders":"Center for Drug Evaluation and Research; U.S. Food and Drug Administration; U.S. Department of Health and Human Services","keywords":"Biopharmaceutics; Physiologically based pharmacokinetic modelling; Pharmacology; Chemistry; Medicine; Computational biology; Computer science; Pharmacokinetics; Biology; Pharmacognosy; Biochemistry; In vitro; Biological activity","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0118203,0.002077231,0.0008257358,0.0009010302,0.0007576087,0.004876348,0.002935919,0.002429131,0.01697145],"category_scores_gemma":[0.01032668,0.0007628502,0.002002644,0.0008674316,0.0006336935,0.002685748,0.003894588,0.003344795,0.009252024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002140023,"about_ca_system_score_gemma":0.002826877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002174209,"about_ca_topic_score_gemma":0.00171183,"domain_scores_codex":[0.9961759,0.001355703,0.000203895,0.0004477149,0.001513648,0.0003031971],"domain_scores_gemma":[0.9952181,0.001389689,0.0002156031,0.0006158061,0.002215001,0.0003458318],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0006608314,0.001038963,0.002020544,0.004002193,0.0002960871,0.0009294569,0.001622653,0.2605851,0.03437823,0.06409223,0.2912858,0.3390879],"study_design_scores_gemma":[0.0001324459,0.0008104407,0.001616546,0.001805054,0.00009984512,0.0003922849,0.0008002833,0.1038227,0.03307563,0.03057237,0.8266456,0.0002268291],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.03767372,0.02499242,0.7823405,0.02259488,0.00992801,0.002278804,0.005669331,0.00423337,0.1102889],"genre_scores_gemma":[0.3280073,0.05496197,0.4339812,0.004208765,0.006240222,0.00436152,0.02422,0.006433232,0.1375859],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01697145,"threshold_uncertainty_score":0.06251246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1309659897101786,"score_gpt":0.4191665619610947,"score_spread":0.2882005722509161,"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."}}