MétaCan
Menu
Back to cohort
Record W4295926424 · doi:10.1061/9780784484395.006

The Berth 11 Bulkhead

2022· article· en· W4295926424 on OpenAlexaff
Paul F. Harrington, V. Michael Govoni, Nathan Libby, John DiGenova

Bibliographic record

VenuePorts 2022 · 2022
Typearticle
Languageen
FieldEngineering
TopicMarine and Offshore Engineering Studies
Canadian institutionsStantec (Canada)
Fundersnot available
KeywordsBulkhead (partition)WharfPrecast concreteEngineeringMooringShutterNavyMarine engineeringCivil engineeringGeologyStructural engineeringMechanical engineering

Abstract

fetched live from OpenAlex

Berth 11 at the Portsmouth Naval Shipyard in Kittery, Maine, supports the overhaul, repair, and modernization of US Navy submarines. The $40m Berth 11 repair project includes a new 1,166 ft long bulkhead in front of the original open wharf structure, supplemental piles to eliminate crane capacity restrictions, mooring hardware, dockside services, and new fendering to accommodate deep draft camels for berthing the submarines. The bulkhead design concept was driven by subsurface conditions that includes high rock and limited overburden along the berth. The design uses rock socketed W36 king piles, precast concrete shutter panels, and rock anchor tie-backs. The top of rock variability, coupled with the need to fabricate the shutter panels and piles in advance, required innovative details to accommodate site conditions, installation sequence, and construction tolerances.

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)0.000
metaresearch head score (Gemma)0.000
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.123
Threshold uncertainty score0.412

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.1230.027

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 head0.003
GPT teacher head0.164
Teacher spread0.161 · 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
Published2022
Admission routes1
Has abstractyes

Explore more

Same venuePorts 2022Same topicMarine and Offshore Engineering StudiesFrench-language works237,207