Marine RD&D Program
Bibliographic record
Abstract
JASCO Applied Sciences, in collaboration with BC Ferries (BCF) and DW-ShipConsult, are executing a project sponsored by Transport Canada’s Innovation Center (TC-IC) to provide results that will assist the International Standards Organization (ISO) in developing standard 17208-3 for the measurement of vessel underwater radiated noise (URN) in shallow water. Measurements in shallow water are difficult to perform because of the ways in which sound interacts with the seafloor and sea surface. In assisting the ISO to develop standard 17208-3, this project aims to answer the question: What combination of sensors and analysis methods yield measurements of vessel underwater sound levels in shallow water consistent with those that are known to be accurately obtained in deep water using ISO Standard 17208-1/-2? The project has two phases: 1) development of a white paper that describes the issues associated with shallow water vessel sound level measurements and an associated measurement plan that address the identified knowledge gaps and 2) execution of the experiments and analysis of the collected measurements to address the knowledge gaps. Experimental measurements will be performed in shallow, mid, and deep water on the same BCF route (Tsawwassen to Swartz Bay). The scope of this white paper is to analyze and illustrate the issues that complicate vessel URN measurements in shallow water, for the purpose of eliciting feedback from TC-IC and members of the ISO committee developing 17208-3 (Technical Committee (TC) 43, Subcommittee (SC) 3, Working Group (WG) 1 – TC 43/SC 3/WG 1). The white paper first provides an overview of the issues associated with making shallow water URN measurements; it then documents the results of acoustic propagation modeling numerical experiments that provide insight into where to measure, the appropriateness of different analysis techniques, and effects of sea bottom composition. The exposition concludes with recommendations for the hydrophone geometries to employ for at-sea measurements that will be performed in summer 2021. After publication of this white paper, measurements using prototype moorings will be made in coastal waters off Halifax, NS. The input received from ISO TC 43/SC 3/WG 1 and the results of the prototype experiment will inform the development of the final measurement plan, which will be reviewed with ISO TC 43/SC 3/WG 1 in December 2020 to elicit further feedback and comments.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.600 | 0.355 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".