Botanical Beach - Juan de Fuca Provincial Park - Drone Mapping
Bibliographic record
Abstract
This record contains an Orthomosaic and Digital Surface Model (DSM) of Botanical Beach, British Columbia, Canada, created from drone imagery. The intertidal area of Botanical Beach was mapped at low tide on July 22, 2020 by Will McInnes of the Hakai Institute. This survey was done to continue efforts by Hakai and its collaborators to map the intertidal habitats found within Botanical Beach. The images collected with the Phantom 4 Pro drone were stitched together in Pix4D Mapper to create an orthomosaic and digital surface model (DSM). A GNSS survey (Global Navigation Satellite System) was also conducted to collect ground control points for the drone survey. The survey and control point data allow the map information collected by the drone to be positioned accurately. Additional details are available in the project report. Datasets: -Orthomosaic (GeoTiff) -Digital surface model (GeoTiff) -3D site model (.obj or .las) -PDF maps of site
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.004 | 0.005 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.006 | 0.004 |
| Research integrity | 0.004 | 0.009 |
| Insufficient payload (model declined to judge) | 0.001 | 0.144 |
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; both teacher heads agree on what is shown here.
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".