October 1998 Internal Solitary Wave Workshop Organization and Coastal Mixing Coastal and Optics Web Site Coordination
Bibliographic record
Abstract
This grant was supported by the Physical Oceanography Program in the Processes and Prediction Division of the Ocean, Atmosphere and Space Department of ONR. The funds defrayed expenses for two activities related to our research into mixing in the coastal ocean. One was the organization of an international meeting of researchers studying nonlinear internal gravity waves throughout the world's oceans. The other was the building of a web site for the ONR Coastal Mixing and Optics (CMO) experiment, sponsored jointly by ONR Physical Oceanography and Environmental Optics. A report on the international meeting was published as Woods Hole Oceanocgraphic Institution technical report WHOI-99-07. The report contained papers submitted by the participants and a list of those in attendance. The papers are also published on the internet at http://www.whoi.edu/science/AOPE/ISW98workshop/. The workshop was held Oct. 27-29, 1998 at the Dunsmuir Lodge, University of Victoria, BC, Canada. It was organized by Tim Duda of Woods Hole and David Farmer of the Institute of Ocean Sciences, Canada. The internet URL of the CMO site is http://www.whoi.edu/science/AOPE/cofdl/cmo/. The pages are securely served by the Woods Hole Oceanographic Institution. A printout of the primary page of the website is attached as part of this report. The website provides links to web areas with information and data from the various CMO investigators, and to the website for the special issue of the Journal of Geophysical Research covering the topics of coastal mixing and coastal optics.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.297 | 0.184 |
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".