Small Vessels of Opportunity Collections off Tofino, BC
Bibliographic record
Abstract
© Sa majest6 la reine, repr6sentde par le ministre de la Ddfense nationale, 20()6 This memorandum addresses DRDC Ottawa design, experimentation, and data collection components in the CoCoNaut airborne Synthetic Aperture Radar (SAR) trial conducted off Vancouver Island, BC, 15 September- 4 October, 2004, in conjunction with a Cana-dian Space Agency (CSA) deployment. Several controlled ships (commercial, military and Coast Guard) and land-based vehicles were instrumented as targets for polarimetric SAR (PoISAR) and Moving Target Indication (MTI) data acquisitions. C-band SAR imagery was collected using the sensor on Environment Canada's CV-580 platform, with a radar calibration site was established at the Tofino Airport (CYAZ). Ground-truthing for targets of opportunity was highly desired and supporting efforts made to iden-tify them through contact tracking and photography, employing CP-140 maritime patrol aircraft, aerial creel survey flights, Marine Communications and Traffic Service, contracted aerial photography flights, and the Recognized Maritime Picture (RMP). Twenty lines of PoISAR data were collected, each covering a wide swath containing mar-
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.232 | 0.053 |
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".