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Record W2535340644 · doi:10.1061/9780784414309.ch10

Introduction to Dry Docks

2016· book-chapter· en· W2535340644 on OpenAlexaff
Paul M. Becht, James R. Hetherman

Bibliographic record

VenueAmerican Society of Civil Engineers eBooks · 2016
Typebook-chapter
Languageen
FieldEngineering
TopicMarine and Offshore Engineering Studies
Canadian institutionsCrandall University
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

Various types of dry docks include those that physically lift the ship from the water, such as floating dry docks, marine railways, and vertical-lift systems, and traditional basin dry docks that dewater an enclosed space around the vessel. This chapter introduces various types of dry docks and their basic principles of design and operation and briefly reviews their capabilities and major features and factors affecting the selection of the appropriate facility. The chapter also describes mobile straddle lifts and other miscellaneous means of dry-docking small craft. The introduction of straddle cranes into marine service in the late 1950s revolutionized the small-craft hauling and storage industry, enabling boatyards to readily haul, store, and load yachts and small craft onto trailers.

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 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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.187
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
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 head0.005
GPT teacher head0.186
Teacher spread0.181 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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

Citations1
Published2016
Admission routes1
Has abstractyes

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