{"id":"W2968015489","doi":"10.1007/s11538-019-00651-8","title":"Analytical Solution and Exposure Analysis of a Pharmacokinetic Model with Simultaneous Elimination Pathways and Endogenous Production: The Case of Multiple Dosing Administration","year":2019,"lang":"en","type":"article","venue":"Bulletin of Mathematical Biology","topic":"Analytical Chemistry and Chromatography","field":"Chemistry","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Health Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Pfizer; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Dosing; Pharmacokinetics; Endogeny; Production (economics); Pharmacology; Administration (probate law); Medicine; Chemistry; Economics; Internal 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002400206,0.001149786,0.002048944,0.0006493676,0.0005176098,0.001677585,0.001323702,0.00268305,0.002175904],"category_scores_gemma":[0.007701748,0.001039569,0.002329257,0.0006128852,0.001076554,0.001220838,0.001536636,0.002626025,0.000327018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001321534,"about_ca_system_score_gemma":0.002901952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01232815,"about_ca_topic_score_gemma":0.005123819,"domain_scores_codex":[0.9993499,0.0002807823,0.00002465114,0.0001285933,0.0001285791,0.00008752443],"domain_scores_gemma":[0.9960772,0.003125365,0.0002927884,0.0001051371,0.0003244868,0.00007487057],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009043715,0.00007533397,0.0004942801,0.0001544082,0.0001033749,0.0003187367,0.00008912935,0.9685537,0.002445888,0.02038915,0.0008078075,0.00647763],"study_design_scores_gemma":[0.000009795132,0.00002048676,0.0001159949,0.000006059583,0.00002207833,0.00003169123,0.000009015046,0.9949325,0.0003097773,0.00421443,0.000319405,0.000008800545],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04801982,0.001402258,0.9435158,0.00162683,0.00008266963,0.0001001853,0.0002278763,0.0002258176,0.004798686],"genre_scores_gemma":[0.8506902,0.002162867,0.1242817,0.0004877656,0.0003218908,0.0005340703,0.0003266921,0.0002738137,0.02092111],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01232815,"threshold_uncertainty_score":0.02451277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02051426774850698,"score_gpt":0.2421479715843712,"score_spread":0.2216337038358642,"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."}}