{"id":"W2943159568","doi":"10.3390/pharmaceutics11050215","title":"In Silico Prediction of Plasma Concentrations of Fluconazole Capsules with Different Dissolution Profiles and Bioequivalence Study Using Population Simulation","year":2019,"lang":"en","type":"article","venue":"Pharmaceutics","topic":"Drug Solubulity and Delivery Systems","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Bioequivalence; Cmax; Dissolution; Population; Dissolution testing; Pharmacokinetics; Bioavailability; Chemistry; Chromatography; Confidence interval; Pharmacology; Mathematics; Biopharmaceutics Classification System; Statistics; Medicine; Organic chemistry","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":[0.0003910548,0.0001749321,0.0003215329,0.000148916,0.00008219139,0.000009804166,0.00008642134,0.0001351363,0.00006392362],"category_scores_gemma":[0.00002428275,0.0001593278,0.00003284835,0.000230267,0.0001258859,0.0002727671,0.00004305405,0.000255814,0.000002174754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008383203,"about_ca_system_score_gemma":0.00003786727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002060097,"about_ca_topic_score_gemma":0.00007407322,"domain_scores_codex":[0.9983301,0.0003897482,0.0005725119,0.0002573035,0.0002313596,0.0002189827],"domain_scores_gemma":[0.9990765,0.0002484598,0.0003294374,0.0001386766,0.0001273225,0.00007954635],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004646255,0.0007110253,0.7672629,0.0002630739,0.00008328414,0.000001669647,0.00204845,0.1273476,0.100824,0.0002461982,0.000002033979,0.0007451233],"study_design_scores_gemma":[0.002969653,0.0002899187,0.1892634,0.00007133647,0.0002245482,0.000005368429,0.001052599,0.7412667,0.06451968,0.00003442491,0.0001591251,0.0001432228],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972886,0.00021078,0.000241469,0.00002709584,0.0004797649,0.001462811,0.0001748553,0.0000257403,0.00008889121],"genre_scores_gemma":[0.9996986,0.00007477903,0.00004526029,0.00002643746,0.00004677524,0.00001833486,0.00004496827,0.00001308586,0.00003173103],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6139191,"threshold_uncertainty_score":0.6497198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1389759494146013,"score_gpt":0.4244238686215542,"score_spread":0.2854479192069529,"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."}}