Eelgrass Extent - Coastal British Columbia
Bibliographic record
Abstract
This dataset represents modeled areal extent of eelgrass meadows (Zostera marina) in coastal British Columbia, Canada. This dataset was generated between 2016 and 2017 as part of the Commission for Environmental Cooperation efforts to estimate blue carbon storage in eelgrass meadows across the Pacific Northwest. To model the areal spatial extent of British Columbia a novel tool was created for use in ArcGIS. This tool required 2 inputs: (1) the coastline data from Shorezone (ie. vector line features with attributes on the presence or absence of eelgrass along a linear extent of coastline) and (2) bathymetry data. Briefly, each line segment of coast in ShoreZone was converted to points along its vertices and points were used to generate Thiessen polygons. Thiessen polygons were clipped to a selected bathymetric contour (5 m or 3 m) based on the results of regional bathymetry analysis. The modeled outputs were compared to available mapping data from the British Columbia Marine Conservation Analysis Atlas to assess model accuracy. Please refer to the report summary for the details on methods and caveats.
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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 | 0.003 | 0.008 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.028 | 0.010 |
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".