Bibliographic record
Abstract
ABSTRACT During fiscal year 2000, a series of, boom, skimmer, pump, and dispersant tests were performed at OHMSETT, the national oil spill response test facility. Spill response technology development and training sessions were also conducted. These projects were conducted by government organizations, including the U.S. Coast Guard (USCG) Research and Development Center and the U.S. Navy Naval Facilities Engineering Service Center (USN ?FESC); research organizations such as Environment Canada, S.L. Ross Environmental Research, and the University of New Hampshire (UNH); and other private companies. The USCG and the National Spill Control School of Texas A&M University-Corpus Christi continued training sessions on the handling of oil spill response equipment. The USCG Research and Development (R&D) Center sponsored a test on viscous oil pumping systems, and another test for the development of fast-water oil spill containment and cleanup equipment. The NFESC conducted an evaluation of four high-speed skimmers that involved testing in waves with light fuel oils. Private companies utilized the tank and its simulated beach system to test their new containment boom designs and multi-skimmer units for oil retention and recovery capabilities. UNH returned to gather performance data on a new rapid current oil barrier design. Each of these projects has been significant in advancing oil spill response technology.
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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 | 0.007 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.008 | 0.012 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.040 | 0.015 |
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".