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Record W3208919170 · doi:10.18174/554348

Raming van broeikasgasemissies uit de landbouw tot 2030, met doorkijk naar 2040 : achtergronddocument veehouderij en akkerbouw bij de Klimaat- en Energieverkenning 2021

2021· report· nl· W3208919170 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typereport
Languagenl
FieldEnergy
TopicEnergy, Environment, Agriculture Analysis
Canadian institutionsImpact
Fundersnot available
KeywordsGreenhouse gasArable landContext (archaeology)AgricultureEnvironmental scienceMethaneManure managementCarbon dioxideAnimal wasteNitrous oxideAnimal husbandryManureSoil waterFertilizerAgricultural scienceAgronomyEnvironmental protectionForestryGeographyBiologyEcologyEngineeringWaste managementSoil science

Abstract

fetched live from OpenAlex

In the context of the Climate and Energy Outlook 2021 (KEV2021), projections for process emissions of greenhouse gases from agriculture (animal husbandry and arable farming) were made with the National Emission Model for Agriculture (NEMA). Based on expected developments, greenhouse gas emissions from enteric fermentation, manure management and agricultural soils were calculated.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.818
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0040.003
Meta-epidemiology (broad)0.0040.003
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0020.003
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0450.001

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.

Opus teacher head0.009
GPT teacher head0.249
Teacher spread0.240 · 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