The AgBiotech Bulletin Volume 1, Issue 5.1, Sep./Oct. 1993
Bibliographic record
Abstract
The AgBiotech Bulletin Volume 1, Issue 5.1, September/October 1993 Published by Ag-West Biotech Inc. Code: NL93014 Size of Files: Text: 36K Graphics: No associated graphics files Contents * Maximum Returns on V-A At the recent Saskatchewan Agricultural Strategy Conference held in Saskatoon, Mark Pickard, Head of Processing, Agricultural Research & Development for Saskatchewan Wheat Pool made a presentation on adding value to products. * Oilseeds Strong The future market looks exceedingly strong for vegetable oils according to Eric Rey, Vice-President Operations, with the oils division of Calgene. * Alliances In Biotechnology KPMG Peat Marwick recently completed a study on corporate alliances in American biotechnology on behalf of the Biotechnology Industry Organization. * BIO/ABTA Merge The Biotechnology Industry Organization (BIO), and the Applied BioTreatment Association (ABTA) have announced that ABTA will merge with BIO to form a unified biotechnology association for the U.S. * U.S. Biotech Food Labeling * U.S. Agbiotech R & D Increases * R & D Funding in Saskatchewan * NETWORK NOTES - Forestry Canada Pathogen Production Pilot Plant - Single Window to Ag Can Research - Agbiotech at Innovation Place - Western Grower Seed Corp. and Bunge Foods Corporation Announce Joint Venture - Mycogen - New Biosciences Complex - NBS - CASCC - Biotech Seen as Untrustworthy - Joint Venture in Health Products - PMAO * RESOURCES - Crucifer Workshop * PEOPLE WATCH - PBI - Plant Genetic Systems (PGS) - Ag Research - SeCan - Pest Management Alternatives Office - Asian Pacific Foundation - Economic Development Authority of Saskatoon - NBAC - Hoechst - Ag-West Biotech Inc. Annual Meeting - 3 New to Ag-West Board - BIONET Annual Meeting * LEGAL NOTES - Changes to Canada's Patent Act - Biotech Patent Protection Bill
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.611 | 0.635 |
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".