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Record W2051973903 · doi:10.1089/ind.2007.3.133

Agriculture and forestry for energy, chemicals, and materials: The road forward

2007· article· en· W2051973903 on OpenAlexaff
R. W. F. Hardy, A. Eaglesham, Anthony M. Shelton

Bibliographic record

VenueIndustrial Biotechnology · 2007
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBioenergy crop production and management
Canadian institutionsPlant Biotechnology Institute
Fundersnot available
KeywordsAgricultureBusinessNatural resource economicsCommodityBiomass (ecology)Chemical industryPetroleumAgricultural economicsEconomicsEnvironmental scienceFinanceEnvironmental engineering

Abstract

fetched live from OpenAlex

The document calls for a national mobilization, by academe, government, and industry, to expeditiously move the United States economy from mainly petroleum-based industry to a more sustainable biological- and petroleum-based industry, calling for 100-plus billion gallons annually of transportation fuel and value-added chemicals and materials produced from biomass. The plant-based agricultural and forestry traditional commodity and new value-added markets can be simultaneously served without long-term negative impacts of one on the other, provided there is major biosource and bioprocess innovation for biobased industrial products. The benefits will be far-reaching, from self-sufficiency in transportation fuel to more sustainable industries, revitalization of rural economies, and improved balance of payments, to mitigation of environmental problems. Targets for biosources, processes, and costs are proposed as well as an integrated structure for success by 2025.

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)0.003
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.032
Threshold uncertainty score0.108

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0070.005
Open science0.0010.002
Research integrity0.0150.009
Insufficient payload (model declined to judge)0.0320.019

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 head0.022
GPT teacher head0.214
Teacher spread0.192 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreReview

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

Citations3
Published2007
Admission routes1
Has abstractyes

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