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Record W7035808824

The Agbiotech Bulletin, Volume 4, Issue 6, June 1996

2010· article· en· W7035808824 on OpenAlexaboutno aff

Bibliographic record

VenueTSpace (University of Toronto) · 2010
Typearticle
Languageen
FieldEngineering
TopicRecycled Aggregate Concrete Performance
Canadian institutionsnot available
Fundersnot available
KeywordsCanolaAgriculturePopulationCropLivestockVolume (thermodynamics)Private sector
DOInot available

Abstract

fetched live from OpenAlex

The Agbiotech Bulletin Volume 4 Issue 6 June 1996 Code Number: NL96015 Sizes of Files: Text: 51.1K Graphics: No associated graphics files AgBiotech: Foundation for the Future Saskatoon, Canada Participants from around the globe have assembled in Saskatoon for North America's first major international symposium dedicated exclusively to the world's agricultural biotechnology industry. Biotech Key to a Prosperous, Sustainable Agriculture, Says ABIC's Keynote Speaker The world's burgeoning population poses a staggering problem for the agriculture industry: How can it produce enough food in a profitable and socially acceptable way without irreversibly destroying the natural environment? Biotechnology Essentially Safe Schell stressed that the introduction of single, well defined genes in crops can be achieved without necessarily modifying Dr. Maurice Moloney, formerly a principal scientist at Calgene Inc. in Davis, California, is currently full professor at the University of Calgary, where he holds the NSERC/DowElanco Chair Crop Development Stream The rich Crop Development Stream at ABIC '96 features 19 outstanding speakers from eight countries. Molecular Farming Yields Novel Products from Canola 'Genetic modification of plants by gene transfer is enabling us to broaden dramatically the range of products available from plants,' according to Dr. Maurice Moloney of the University of Calgary. Extracting Enhanced-Value Proteins from Plants Use of Canola and its relatives in molecular farming Continuing Success in Canola Industry Requires Collaboration Applications of Biotechnology in Farmed Animals Animal Biotechnology: Improving the Environment Remedies considered Improving animal feeding systems conserves carbon (energy) and reduces the leakage of nitrogen and phosphorus from livestock systems, capturing potential sources of pollutants as enhanced elements of nutrition. Microbials Stream Commercializing Plant Growth-Promoting Bacteria Biocontrol Found Effective for Fungal Diseases Technology Transfer Stream The Private Sector and Biotech Transfer to Developing Countries Biotech and the developing world ISAAA: Case Study of Private Sector Biotechnology Transfer Technology Transfer: Needs and Opportunities in Southeast Asia Case Study: Indonesia Cohen described tech transfer case studies in several countries, including Indonesia. Achieving an equitable share of benefits Business Stream Business people around the world are recognizing the growth potential of agbiotech. Determining whether a technology is commercially viable Directors Role in Corporate Governance Emphasized People Watch Agriculture and Agri-Food Canada Dista Products Ltd. National Research Council (NRC) Royal Bank of Canada Saskatchewan Economic Development Visit the Ag-West Booth at ABIC We Welcome Your Input Credits: The Agbiotech Bulletin is published 12 times per year on behalf of Ag-West Biotech Inc. by Westcross House Publications,

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.420
Threshold uncertainty score0.827

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0020.001
Scholarly communication0.0070.003
Open science0.0010.002
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.4200.484

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.

Opus teacher head0.004
GPT teacher head0.180
Teacher spread0.177 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2010
Admission routes1
Has abstractyes

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