The AgBiotech Bulletin Volume 2 Issue 1 Jan./Feb.1994
Bibliographic record
Abstract
The AgBiotech Bulletin, Volume 1, Issue 1, Jan./Feb. 1993 Published by\nAg-West Biotech Inc. Code: NL93006 Size of Files: Text: 28K Graphics:\nNo associated graphics files Contents * Public Concerns in\nBiotechnology As a fledgling industry, agriculture biotechnology must\nquickly come to terms with two related public issues: - safety -\nownership & control The ramifications of each of these concerns tie\ndirectly to the ability of the agbiotech community to earn public\nconfidence..... * Agbiotechnology - A Dynamic Industry It is predicted\nthat agbiotech in North America will grow by forty-five percent per\nyear during the 1990's. This will come through developments such as\noilseed varieties which provide new food and industrial uses; herbicide\nand pest tolerant crops, plants to produce pharmaceutical and other\nhigh value products, biologicals to enhance plant and animal growth,\nanimal health products and new food processing techniques. Building For\nThe Future (1) Research Base (2) Research - Industry Link (3) Spirit of\nInnovation (4) Financing (5) Communications * Partnership for Renewal\nThe Saskatchewan Government has recently developed a "Strategy for the\nSaskatchewan Economy". The Government believes that ... "Saskatchewan\nin the Year 2000 will be a province where business, co-operatives,\nworking people, governments and communities have worked together to\nlead the province toward prosperity and security."...... * Minister\nConfirms Regulatory Principles In one of his last acts as Minister of\nAgriculture for Canada, the Honourable Bill McKnight confirmed to\nAg-West Biotech the intention of the federal government to regulate the\nproducts of biotechnology by building on existing legislation and\ninstitutions thus avoiding the costly and time consuming process of\ncreating new laws..... * The Business of Commercialization Scientific\nResearch and Experimental Development Tax Incentives (SRED Tax\nIncentives) Over the years, it has been my experience that many\nindividuals and corporations carrying on scientific research and\nexperimental development (SRED) activities are not aware of the tax\nincentives available to them. The Canadian SRED tax incentive program\nis one of the most generous in the world. Currently, the program\ndelivers approximately $1 billion per year in investment tax credits.\nApproximately $250 million are refundable investment tax credits to\nsmall corporations..... * Network Notes MicroBio RhizoGen Corporation\n(MBR) Plant Genetic Systems (PGS) Plant Genetic Systems (PGS) Belgium\nPhilom Bios Hoechst Biostar Saskatchewan Research Council Toronto\nBiotechnology Institute Plant Biotechnology Institute (PBI) ABC and IBA\nMerge * People Watchers Ag-West Biotech (AWB) Agriculture Canada\nProtein Oils and Starch (POS) Hoechst A-STEP VETERINARY INFECTIOUS\nDISEASES ORGANIZATION (VIDO)
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) | 0.089 | 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".