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Record W3174727711 · doi:10.18174/548296

De economische en ecologische effecten van inrichtingsvarianten voor de Noordzee tot 2040/2050

2021· report· nl· W3174727711 on OpenAlexaff
Peter Roebeling, W.J. Strietman, R.H. Jongbloed, J.E. Tamis, Katell G. Hamon, Annemiek Eweg, S. van den Burg, Stijn Reinhard

Bibliographic record

Venuenot available
Typereport
Languagenl
FieldEnvironmental Science
TopicCoastal and Marine Management
Canadian institutionsImpact
Fundersnot available
KeywordsGeographyHabitatFisheryFish <Actinopterygii>Cumulative effectsMarine ecosystemEcologyEcosystemBiology

Abstract

fetched live from OpenAlex

In this report, indicative insight is provided into the economic and ecological effects of four future spatial scenarios on the North Sea usage functions. For each of these scenarios, the annual effects on the various usage functions on the Dutch part of the North Sea are calculated or qualitatively described for the years 2017 and 2040/2050. The economic effects are calculated in terms of the annual direct and indirect production value, added value and employment (FTE). The ecological effects are expressed in terms of risk for species groups (seabirds, seals, porpoises and other cetaceans, bats, fish and reef-building species) and cumulative impacts for ecosystem components (birds, fish, marine mammals and habitats).

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)0.003
metaresearch head score (Gemma)0.005
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.096
Threshold uncertainty score0.191

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.003
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0390.004

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 head0.011
GPT teacher head0.234
Teacher spread0.223 · 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

Citations4
Published2021
Admission routes1
Has abstractyes

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Same topicCoastal and Marine ManagementFrench-language works237,207