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Record W2601273432

Milieueffectenbeoordeling van het Belgian Offshore Grid

2014· article· nl· W2601273432 on OpenAlexfundno aff
B. Rumes, M. Di Marcantonio, R. Brabant, Ilse De Mesel, S. Degraer, J. Haelters, F. Kerckhof, A. Norro, Ronny Schallier, D. Van den Eynde, L. Vigin, B. Lauwaert

Bibliographic record

VenueFlanders Marine Institute (Flanders Marine Institute) · 2014
Typearticle
Languagenl
FieldDecision Sciences
Topicdemographic modeling and climate adaptation
Canadian institutionsnot available
FundersInstitute of Musculoskeletal Health and ArthritisNational Oceanic and Atmospheric AdministrationAgentschap voor Natuur en Bos
KeywordsSubmarine pipelineGeologyOceanography
DOInot available

Abstract

fetched live from OpenAlex

ATF Atmosferische Transmissie Factor BCP Belgisch Continentaal Plat BDNZ Belgisch Deel van de Noordzee BE België BMM Koninklijk Belgisch Instituut voor Natuurwetenschappen. Beheerseenheid Mathematisch Model van de Noordzee en Schelde-estuarium BOG Belgian Offshore Grid BS Belgisch Staatsblad bv.bijvoorbeeld CREG Commissie voor de Regulering van de Elektriciteit en het Gas cv coöperatieve vennootschap DC Gelijkstroom DIPP Double Inactive Points Perpendicular to main flow direction d.m.v.

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)0.001
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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.381
Threshold uncertainty score0.757

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0240.002

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 head0.042
GPT teacher head0.298
Teacher spread0.257 · 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 designSimulation or modeling
Domainnot available
GenreEmpirical

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
Published2014
Admission routes1
Has abstractno

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