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\nPublished by Ag-West Biotech Inc. Code: NL93014 Size of Files: Text:\n36K Graphics: No associated graphics files Contents * Maximum Returns\non V-A At the recent Saskatchewan Agricultural Strategy Conference held\nin Saskatoon, Mark Pickard, Head of Processing, Agricultural Research\n& Development for Saskatchewan Wheat Pool made a presentation on\nadding value to products. * Oilseeds Strong The future market looks\nexceedingly strong for vegetable oils according to Eric Rey,\nVice-President Operations, with the oils division of Calgene. *\nAlliances In Biotechnology KPMG Peat Marwick recently completed a study\non corporate alliances in American biotechnology on behalf of the\nBiotechnology Industry Organization. * BIO/ABTA Merge The Biotechnology\nIndustry Organization (BIO), and the Applied BioTreatment Association\n(ABTA) have announced that ABTA will merge with BIO to form a unified\nbiotechnology association for the U.S. * U.S. Biotech Food Labeling *\nU.S. Agbiotech R & D Increases * R & D Funding in Saskatchewan\n* NETWORK NOTES - Forestry Canada Pathogen Production Pilot Plant -\nSingle Window to Ag Can Research - Agbiotech at Innovation Place -\nWestern Grower Seed Corp. and Bunge Foods Corporation Announce Joint\nVenture - Mycogen - New Biosciences Complex - NBS - CASCC - Biotech\nSeen as Untrustworthy - Joint Venture in Health Products - PMAO *\nRESOURCES - Crucifer Workshop * PEOPLE WATCH - PBI - Plant Genetic\nSystems (PGS) - Ag Research - SeCan - Pest Management Alternatives\nOffice - Asian Pacific Foundation - Economic Development Authority of\nSaskatoon - NBAC - Hoechst - Ag-West Biotech Inc. Annual Meeting - 3\nNew to Ag-West Board - BIONET Annual Meeting * LEGAL NOTES - Changes to\nCanada's Patent Act - Biotech Patent Protection Bill
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.078 | 0.001 |
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 teacher head, 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".