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Record W7017269723

Agriculture in the new century: FY 2000 report to Congress on Title XII

2016· report· en· W7017269723 on OpenAlexfundno aff

Bibliographic record

VenueVTechWorks (Virginia Tech) · 2016
Typereport
Languageen
Field
Topic
Canadian institutionsnot available
FundersMedical Research CouncilGoddard Space Flight CenterUniversity of Illinois at Urbana-ChampaignNational Oceanic and Atmospheric AdministrationEgerton UniversityPunjab Agricultural UniversityPakistan Agricultural Research CouncilInstituto Tecnológico y de Estudios Superiores de MonterreyMinistry of EnvironmentInstituto Nacional de Investigaciones AgropecuariasIndian Council of Agricultural ResearchSouth African Medical Research CouncilNepal Agricultural Research CouncilNorth Carolina Pork CouncilSoutheast Asian Regional Center for Graduate Study and Research in AgricultureOregon State UniversityCenter for Strategic ResearchWashington State UniversityUniversity of OklahomaNational Aeronautics and Space AdministrationPurdue UniversityInternational Fine Particle Research InstituteNational Research CentreInstituto Nacional de Investigaciones Forestales, Agrícolas y PecuariasMekelle UniversityU.S. Department of AgricultureUniversity of ConnecticutUniversity of California, Los AngelesInstituto Nacional de Investigación y Tecnología Agraria y AlimentariaInternational Livestock Research InstituteUniversity of PittsburghVirginia Polytechnic Institute and State UniversityUniversity of MinnesotaMinistry of Education, KenyaNorth Carolina State UniversityTexas Tech UniversityOhio State UniversityWilliams CollegeMcMaster UniversityYale UniversityLa Trobe UniversityUtah State UniversitySouth Dakota State University
KeywordsAgricultureGovernment (linguistics)
DOInot available

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.245
Threshold uncertainty score0.486

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0020.000
Scholarly communication0.0050.002
Open science0.0010.002
Research integrity0.0040.002
Insufficient payload (model declined to judge)0.0390.015

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 head0.019
GPT teacher head0.292
Teacher spread0.273 · 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 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
Published2016
Admission routes1
Has abstractno

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