{"id":"W1940665595","doi":"10.18433/j3tk55","title":"Retrospective and Prospective Human Intravenous and Oral Pharmacokinetic Projection of Dipeptidyl peptidase-IV Inhibitors Using Simple Allometric Principles – Case Studies of ABT-279, ABT-341, Alogliptin, Carmegliptin, Sitagliptin and Vildagliptin","year":2015,"lang":"en","type":"article","venue":"Journal of Pharmacy & Pharmaceutical Sciences","topic":"Diabetes Treatment and Management","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Alogliptin; Sitagliptin; Vildagliptin; Volume of distribution; Pharmacokinetics; Pharmacology; Allometry; Dipeptidyl peptidase-4 inhibitor; Chemistry; Medicine; Endocrinology; Biology; Diabetes mellitus; Metformin; Type 2 Diabetes Mellitus","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001142724,0.0002362595,0.0003527956,0.0006856351,0.0003246299,0.0004813282,0.000293504,0.0003885599,0.001112243],"category_scores_gemma":[0.002472574,0.0002516732,0.0005485569,0.0005814041,0.0004132988,0.0003289723,0.0003721339,0.0004959494,0.0002601366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003862978,"about_ca_system_score_gemma":0.0003206395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002554975,"about_ca_topic_score_gemma":0.00179967,"domain_scores_codex":[0.9992041,0.0002309494,0.00007888855,0.0002660935,0.0001570976,0.00006288548],"domain_scores_gemma":[0.9980345,0.0005700249,0.0005183326,0.0003842499,0.0003372976,0.0001555478],"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":[0.0008431628,0.0001889915,0.980434,0.00004628927,0.0001124029,0.005563169,0.0004099773,0.000628571,0.0009610332,0.0001546989,0.0003269176,0.01033084],"study_design_scores_gemma":[0.00005014073,0.003511046,0.9598305,0.00003729079,0.0002016158,0.0240421,0.001206947,0.004546761,0.00258464,0.0002882688,0.00364611,0.00005453012],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974883,0.0004505562,0.0008182405,0.00003053596,0.000006773235,0.0000419069,0.0002170835,0.000006567794,0.0009399667],"genre_scores_gemma":[0.9988478,0.0002784135,0.0003238854,0.00001660221,0.000009568133,0.00001483188,0.0002688594,0.000004011931,0.0002360043],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002554975,"threshold_uncertainty_score":0.006043375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1513553291027484,"score_gpt":0.4310701361963141,"score_spread":0.2797148070935657,"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."}}