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Record W4213306798 · doi:10.1080/17445302.2022.2032990

Effect of bottom counterweight and cable distribution on the hydrodynamic response of the gravity net cage

2022· article· en· W4213306798 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

VenueShips and Offshore Structures · 2022
Typearticle
Languageen
FieldEngineering
TopicUnderwater Vehicles and Communication Systems
Canadian institutionsDynamic Systems Analysis (Canada)
FundersNational Key Research and Development Program of ChinaNational Natural Science Foundation of China
KeywordsCounterweightCollarTension (geology)CageStructural engineeringEngineeringMechanicsUnderwaterMarine engineeringGeologyPhysicsCompression (physics)

Abstract

fetched live from OpenAlex

To investigate the influence of the bottom counterweight and cable distribution on hydrodynamic response of the gravity net cage, a single cylindrical gravity net cage with different cable distributions and counterweights was analysed by numerical simulation. The floating collar was simplified as a hollow ring that has the same mechanical properties as one double-row floating pipe. The influence of the current, wave and cable distribution on the floating collar motions and cable loads were investigated. Analysis results illustrated that the volume reduction coefficient of net structure and the maximum tension of cable are mainly affected by the counterweight and cable distribution, respectively. In addition, the deformation of the floating collar is mainly affected by the wave height. The cylindrical gravity net cage with the 80 kg × 32 bottom counterweight and the ‘*’-layout cable distribution is fit for the sea state of the Yellow Sea Cold Water Mass.

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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.454
Threshold uncertainty score0.190

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.005
GPT teacher head0.195
Teacher spread0.191 · 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