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Record W2963817263 · doi:10.18174/494744

Oostlandse glastuinbouw zet koers naar 2030 : Verduurzamingsrichtingen energievoorziening van de Oostlandse glastuinbouw

2019· report· nl· W2963817263 on OpenAlexaff
Pepijn Smit

Bibliographic record

Venuenot available
Typereport
Languagenl
FieldEnergy
TopicEnergy, Environment, Agriculture Analysis
Canadian institutionsImpact
Fundersnot available
KeywordsRenewable energyGreenhouse gasGreenhouseSustainabilityBusinessEnergy supplyModernization theoryNatural resource economicsEnergy sectorAgricultural scienceEnvironmental economicsEnergy (signal processing)Environmental scienceEconomicsHorticultureEngineeringEconomic growthMathematicsEcology

Abstract

fetched live from OpenAlex

Voor de glastuinbouw in de regio Oostland worden in drie scenario's voor 2030 op energiegebied vergaande veranderingen voorzien. De scenario's maken onderscheid tussen een pessimistische, een gematigde en een optimistische ontwikkeling van de glastuinbouw in de regio Oostland. De veranderingen zijn het grootst op het vlak van de energievoorzieningen, die minder zullen steunen op aardgas en meer op duurzame bronnen en inkoop van warmte en elektriciteit bij derden, en komen voort uit mutaties in de energievraag en de sectorstructuur, verduurzamingsinspanningen van de glastuinbouwbedrijven met hun partners en overheidsbeleid. De veranderingen leiden tot CO 2emissiereductie en verhoging van het aandeel duurzame energie. Naar voren is gekomen dat energieverduurzaming samenhangt met de modernisering van kassen, dat samenwerking tussen bedrijven, hun partners en overheden essentieel is en uitbreiding van energienetwerken van groot belang is. De Oostlandse glastuinbouw onderscheidt zich met eigen kenmerken qua sectorstructuur, energievraag en energievoorziening van de landelijke glastuinbouw.

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 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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.582
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0050.004
Meta-epidemiology (broad)0.0050.004
Bibliometrics0.0020.003
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0030.002
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0170.006

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 head0.012
GPT teacher head0.233
Teacher spread0.221 · 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; both teacher heads agree on what is shown here.

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
Published2019
Admission routes1
Has abstractyes

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