Error Budget Analysis for surface and underwater survey system
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.
Bibliographic record
Abstract
For the installation of subsea infrastructures (pipelines, subsea wells, etc.) required for the extraction, storage and supply of hydrocarbon resources, the oil and gas company TOTAL regularly contracts hydrographic survey companies to provide positioning and hydrographic survey services. These companies mainly use two types of systems for these operations: surface and underwater survey systems. The error budget estimation identifies the parameters which affect the acquired data quality and to check if the measurement uncertainty of the sounding position meets the minimum survey specifications described by International Hydrographic Organization (IHO) as adopted by TOTAL. This paper gives an in-depth analysis on the error budget estimation of surface and underwater survey systems; describes briefly these state-of-the-art systems and proposes an estimation method of error budget of these systems. This work also contributes to improve bathymetric sounding position equations.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it