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Record W2314358158 · doi:10.1061/40727(2004)5

Timber Wave Screen Design and Repair Issues

2004· article· en· W2314358158 on OpenAlexaboutno aff
William G. Smith, David L. Kriebel

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicCoastal and Marine Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsShoreCoast guardBoomBARGEEngineeringGeographyTourismCivil engineeringArchaeologyGeologyOceanographyMarine engineering

Abstract

fetched live from OpenAlex

The First Coast Guard District's geographical boundaries stretch from northern New Jersey all the way up the Atlantic Coast to the Canadian border. It is home to some of the oldest facilities in the Coast Guard's shore facilities inventory. Some of the remaining original stations and lighthouses here in the First District were constructed around the same time that the Revenue Cutter Service was formed. Many of the more "recent" facilities were constructed during the boom that accompanied and followed World War II. Civil Engineering Unit Providence, located in Warwick, Rhode Island has responsibility for managing all capital assets (buildings, structures, towers, waterfronts, aids to navigation, etc.) located within the First District. A common structural element found in several First District waterfront facilities is a timber bulkhead or wave screen designed to block incoming waves and provide a calm mooring basin for Coast Guard small boats and the floating docks to which they moor.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.033
Threshold uncertainty score0.109

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0030.001
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0330.006

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 head0.018
GPT teacher head0.204
Teacher spread0.186 · 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 designNot applicable
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
Published2004
Admission routes1
Has abstractyes

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