Pharmacokinetics and Drug Metabolism in Canada: The Current Landscape
Bibliographic record
Abstract
Canadian Pharmaceutical Scientists have a rich history of ground-breaking research in pharmacokinetics and drug metabolism undertaken throughout its Pharmacy and Medical Schools and within the Pharmaceutical and biotechnology industry. The principle of drug Absorption, Distribution, Metabolism and Excretion (ADME) is the foundational basis of rationale drug-design, and pharmacotherapy. The study of ADME and its descriptive quantitative analysis is the basis of pharmacokinetics. Pharmacokinetics is fundamental in the development of a new chemical entity into a marketable product and is essential in understanding the bioavailability, bioequivalence and biosimilarities of drugs. Pharmacokinetics and drug development studies facilitate an understanding of organ-based functionality. Population pharmacokinetic variability and the modeling of drug concentrations has significant utility in translating individual response in a target patient population.This special issue serves to highlight and capture the contemporary progress and current landscape of pharmacokinetics and drug metabolism within the prevailing Canadian context. We invite articles on all aspects of Pharmacokinetics and Drug Metabolism studies highlighting the world-class research currently undertaken in Canada for this special issue.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.008 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.017 | 0.005 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".