{"id":"W2758156076","doi":"10.3390/pharmaceutics9040041","title":"Predicting Oral Drug Absorption: Mini Review on Physiologically-Based Pharmacokinetic Models","year":2017,"lang":"en","type":"review","venue":"Pharmaceutics","topic":"Drug Solubulity and Delivery Systems","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":178,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Physiologically based pharmacokinetic modelling; Pharmacokinetics; Bioavailability; Drug; Pharmacology; Absorption (acoustics); Chemistry; Medicine; Materials science","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":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.003759144,0.001932732,0.004765994,0.00038318,0.001161574,0.0001710137,0.002709082,0.001347182,0.002299912],"category_scores_gemma":[0.0003198874,0.001626131,0.002006195,0.0004942677,0.0006538455,0.0003643821,0.000473577,0.005221046,0.003054652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004370676,"about_ca_system_score_gemma":0.0007861015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000193506,"about_ca_topic_score_gemma":0.000004626904,"domain_scores_codex":[0.9891762,0.003967669,0.002512765,0.001768474,0.0009263579,0.00164853],"domain_scores_gemma":[0.9925436,0.001859912,0.002539269,0.001654275,0.0003643605,0.001038621],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001941706,0.0009684702,0.00001272985,0.1014033,0.001166527,0.0002711212,0.00007675628,0.001600652,0.000009078365,0.000134291,0.05394782,0.8402151],"study_design_scores_gemma":[0.001726118,0.0001257772,7.495972e-7,0.03316142,0.007184849,0.00008090241,0.000007407543,0.01809474,0.00004310122,0.00008960661,0.9380229,0.001462396],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00002950276,0.9713761,0.00003875462,0.0005798623,0.006217101,0.004640439,0.001067588,0.000617469,0.01543317],"genre_scores_gemma":[0.000525242,0.980844,0.0001015736,0.01079903,0.00203526,0.00100721,0.000816774,0.0002370096,0.003633879],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8840751,"threshold_uncertainty_score":0.9999493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5386076667550478,"score_gpt":0.5450790665669797,"score_spread":0.006471399811931899,"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."}}