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Record W7011477179

mechanisatie in dienst van bodembeheer

2012· other· nl· W7011477179 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueOrganic Eprints (International Centre for Research in Organic Food Systems, and Research Institute of Organic Agriculture) · 2012
Typeother
Languagenl
FieldMathematics
TopicProbability and Statistical Research
Canadian institutionsnot available
Fundersnot available
KeywordsSubject (documents)Quarter (Canadian coin)Guard (computer science)
DOInot available

Abstract

fetched live from OpenAlex

Onbereden teeltbedden hebben bewezen een hogere opbrengst te kunnen geven in een groot aantal gewassen. Vooral structuurgevoelige gewassen zoals bladgewassen (spinazie) kunnen hiervan profiteren. Doordat er in principe niet meer over de teeltbedden gereden wordt, kan de bodemstructuur
\nin stand blijven of zich gemakkelijk herstellen.
\nJammer genoeg is de oogstmechanisatie nog niet passend voor de onbereden teeltbedden.
\nTot aan de oogst wordt er niet over de bedden gereden en zelfs dit heeft al een effect op de bodemstructuur. Door te kiezen voor een laag gewicht van de oogstmachines ontzien we de bodemstructuur.

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)0.022
metaresearch head score (Gemma)0.018
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.722
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0220.018
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0030.003
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0040.003
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0240.003

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 head0.145
GPT teacher head0.393
Teacher spread0.248 · 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