{"id":"W1964906039","doi":"10.1016/j.ejpb.2008.10.019","title":"Computer simulations using GastroPlus™ to justify a biowaiver for etoricoxib solid oral drug products","year":2008,"lang":"en","type":"article","venue":"European Journal of Pharmaceutics and Biopharmaceutics","topic":"Drug Solubulity and Delivery Systems","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":117,"is_retracted":false,"has_abstract":false,"ca_institutions":"Merck Canada Inc. (Canada); University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Merck Canada","keywords":"Etoricoxib; IVIVC; Solubility; Biopharmaceutics Classification System; Dissolution; Chemistry; Dissolution testing; Bioequivalence; Dosage form; Drug; Chromatography; Pharmacology; In vivo; Active ingredient; Pharmacokinetics; Absorption (acoustics); Materials science; Organic chemistry; Medicine","routes":{"ca_aff":true,"ca_fund":true,"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"],"consensus_categories":[],"category_scores_codex":[0.002670543,0.0005455712,0.0007354043,0.0004838191,0.0008853842,0.00009505135,0.0005864549,0.0001328306,0.00009825171],"category_scores_gemma":[0.0001423179,0.0005071482,0.0002660096,0.0006121857,0.0003895448,0.0003521328,0.0002932575,0.001156882,0.00005696153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001551412,"about_ca_system_score_gemma":0.0002588448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003761319,"about_ca_topic_score_gemma":0.000001153436,"domain_scores_codex":[0.9955115,0.001224862,0.001407661,0.0005142265,0.0004618954,0.0008798612],"domain_scores_gemma":[0.996313,0.000405742,0.000762523,0.0002591926,0.001171524,0.001087967],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.005600608,0.002551309,0.01063904,0.001155508,0.002416987,0.002470959,0.01297228,0.1465117,0.7116575,0.0003939845,0.05955638,0.04407376],"study_design_scores_gemma":[0.006645211,0.0005707365,0.0005934665,0.00009199166,0.000974181,0.001584383,0.0002009108,0.1446531,0.06339145,0.00001244822,0.7805614,0.0007207143],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9758788,0.001879708,0.01152763,0.002478878,0.006470555,0.00113823,0.0003578533,0.00008183143,0.0001864517],"genre_scores_gemma":[0.9736259,0.001027787,0.01751606,0.004133111,0.003137354,0.000003403465,0.00001672879,0.0001024482,0.0004372099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7210051,"threshold_uncertainty_score":0.999738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2715340040026659,"score_gpt":0.4497918519928551,"score_spread":0.1782578479901892,"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."}}