Growing NHPs for the Future: The 16th Annual Natural Health Products Research Conference and Tradeshow
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract The 16th Annual Natural Health Products Research Conference and Tradeshow hosted by the NHP Research Society of Canada (NHPRS) will be held from May 26-29, 2019 in Edmonton, Alberta. Founded in 2003 by a collaboration of academic, industry, and government researchers from across Canada, the NHPRS is a Canadian federally incorporated non-profit organization. The goals of the NHPRS are; (a) to promote scientifically rigorous research and education on natural health products (NHPs), (b) to develop a national research community that encompasses academic, health professional, government and a broadbase of industry stakeholders, (c) to support national research priorities that best enable the informed and appropriate use of NHPs that are safe and efficacious, (d) to increase the capacity for NHP research and education, (e) to facilitate effective NHP knowledge transfer and translation, (f) to support the use of science-based product quality standards and the use of well-characterized materials and protocols in research and (g) to foster value-chain development through interdisciplinary NHP research collaborations and networking. To forward these objectives, the NHPRS has held annual research conferences since inception with themes that highlight the important trends in the ever growing and changing field of NHP Research. The theme of the 16th Annual Conference is “Growing NHPs for the Future”. The abstracts are ordered alphabetically by presenting author last name, oral presentations followed by poster presentations. For more information, please visit: http://www.nhprs.ca/.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.023 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.008 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it