Conference on plant-made pharmaceuticals. 16-19 March 2003, Québec City, Québec, Canada.
Bibliographic record
Abstract
The Conference on Plant-Made Pharmaceuticals was an inaugural event organized by Molecular Farming Association Inc, a non-profit organization created in 2000 to support the emergence of plant-made biopharmaceuticals and plant-factory companies. The meeting was sponsored by the Government of Canada, the Gouvermement du Québec and the Société Générale de Financement, along with 20 companies involved in plant-made pharmaceuticals and related activities. Although there was very little discussion of new biopharmaceuticals under development with these systems, this was the first meeting where participants could survey the entire breadth of technologies and approaches that are being taken to produce biopharmaceuticals in transgenic plants. Participants also heard about the technical, manufacturing and regulatory issues confronting transgenic plant expression systems, as well as from 'new technology' companies that hav not previously presented in a public forum. There was a clear sense emerging from the meeting that the hurdles currently facing the industry will be overcome and that transgenic plant systems will eventually move into the mainstream of biopharmaceutical manufacturing technologies.
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.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.454 | 0.132 |
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".