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Record W4400665752 · doi:10.23977/jeeem.2024.070211

Study on the relationship between multibeam bathymetric coverage width and overlap rate based on seafloor slope

2024· article· en· W4400665752 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Electrotechnology Electrical Engineering and Management · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Changes in China
Canadian institutionsnot available
Fundersnot available
KeywordsSeafloor spreadingBathymetryGeologyGeomorphologyOceanographyGeodesyRemote sensing

Abstract

fetched live from OpenAlex

Multibeam bathymetric technology, with its high-precision and full-coverage characteristics, has become an essential tool for seabed topographic mapping with the development of marine resources and the advancement of marine scientific research. Optimizing its coverage width and overlap rate is critical to enhancing the efficiency and accuracy of mapping. To examine the connection between the two, the mathematical model of multibeam bathymetry coverage width is created using the geometric and analytical methods, respectively, and the results obtained by the two methods are consistent. The investigation focuses on the relationship between multibeam bathymetry coverage width and overlap. Due to the uncertainty of the terrain, the coverage width is studied for the slope of multibeam bathymetry, and the results confirm that the slope has a certain influence on it. Therefore, accurate measurement of the coverage width of different slopes provides powerful technical support for ocean mapping.

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 score0.684
Threshold uncertainty score0.543

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.014
GPT teacher head0.231
Teacher spread0.217 · 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