Nearshore elevation and imagery models - Quadra Island Hakai Institute Facility Shoreline - British Columbia - Canada
Bibliographic record
Abstract
Drone based (RPAS) elevation and imagery data collected for the nearshore habitats off the Hakai Institute's Quadra Island Facility. Data was collected on August 21st, 2017 using a Phantom 3 Pro drone and a Topcon GR5 RTK survey system. The goal of the flights was to map fucus research sites with imagery and elevation models. Fucus research and data request was conducted by Matt Lemay (Hakai Institute). Date / Time: August 21st, 2017: 11:13 am to 12:05 pm. Tide: 1.0 to 1.1 meters. Ground Sampling Distance: 2.3 cm Ground Control Points: 17 Area Covers: 9.9 hectares RMS Error: 0.024 m Coordinate System: NAD83 UTM 10 Processing was completed in Pix4D photogrammetry software and analysis in Esri ARC GIS software. Field operators Keith Holmes and William Hall. RPAS flight altitude: 40 - 55 meters. MOBE ID number: U0276
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.010 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.034 | 0.036 |
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".