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Technical Considerations on the Management of Coastal Areas Rehabilitation Projects

2021· article· en· W3192983010 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

VenueMATEC Web of Conferences · 2021
Typearticle
Languageen
FieldEngineering
TopicMarine and Offshore Engineering Studies
Canadian institutionsPetro-Canada
Fundersnot available
KeywordsShoreCoastal erosionErosionEnvironmental resource managementWildlifeNatural (archaeology)EcosystemEnvironmental planningMarine ecosystemEnvironmental scienceEnvironmental protectionGeographyOceanographyEcologyGeology

Abstract

fetched live from OpenAlex

Coastal erosion contributes to the loss of particularly valuable land, which can damage coastal ecosystems and cause economic and social damage to the area where they occur. Coastal erosion is a natural process that affects shores around the world. The article present aspects of coastal erosion in Romania as well as some solutions proposed to reduce this phenomenon. Submerged structures are exposed to erosion therefore a close monitoring is necessary. A malfunction will result in the damage of the structure as well as endangering marine wildlife. The proposed solutions are meant to protect the coastal area against erosion, protecting the shore, adjacent land and ecosystems. These solutions will also protect the economic infrastructure and social objectives endangered by marine erosion. A monitoring program will be implemented for a medium and long term, supporting the maintenance operations.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.935
Threshold uncertainty score0.206

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.017
GPT teacher head0.227
Teacher spread0.210 · 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