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Record W7117267976 · doi:10.63064/khtnmt.2025.750

ỨNG DỤNG MÁY ĐO SÂU HỒI ÂM ĐA TIA TELEDYNE ODOM MB1 TRONG CÔNG TÁC ĐO ĐẠC VÀ THÀNH LẬP BẢN ĐỒ ĐỊA HÌNH ĐÁY BIỂN

2015· article· W7117267976 on OpenAlexaboutno aff
Nguyễn Xuân Thủy, Vương Thị Hoe

Bibliographic record

VenueTạp chí Khoa học Tài nguyên và Môi trường · 2015
Typearticle
Language
FieldEnvironmental Science
TopicResearch studies in Vietnam
Canadian institutionsnot available
Fundersnot available
KeywordsGovernment (linguistics)Cote d ivoireWork (physics)Quarter (Canadian coin)

Abstract

fetched live from OpenAlex

Bài báo đã xây dựng và giới thiệu các quy định về định vị DGPS trên biển và công nghệ máy đo sâu hồi âm đa tia, quy trình đo đạc và thành lập bản đồ địa hình đáy biển sử dụng máy đo sâu hồi âm đa tia Teledyne Odom MB1. Bài báo đã đưa ra và trình bày được các khả năng ứng dụng trong quá trình thành lập bản đồ địa hình đáy biển sử dụng máy đo sâu hồi âm đa tia Teledyne Odom MB1.

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)0.008
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Open science, Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.400
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.003
Meta-epidemiology (narrow)0.0030.003
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0010.004
Science and technology studies0.0040.006
Scholarly communication0.0010.004
Open science0.0060.009
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0160.019

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 head0.063
GPT teacher head0.318
Teacher spread0.255 · 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; both teacher heads agree on what is shown here.

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
Published2015
Admission routes1
Has abstractyes

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