Bibliographic record
Abstract
Boundary for the Salish Sea Bioregion based on watersheds that drain into the Salish Sea. Created for the Salish Sea Atlas (https://wp.wwu.edu/salishseaatlas/). The boundary of the Salish Sea Bioregion follows the outline of watersheds that drain into the sea. Throughout most of the region, the boundary exactly follows the borders of HUC-8 level US watersheds and sub-sub-drainage basin level Canadian watersheds that directly or indirectly drain into the Salish Sea. Watersheds in the Fraser River’s upper drainage area were excluded. The watersheds at the northeastern and northwestern corners of the boundary were clipped along sub-basin boundaries to remove portions of the larger watersheds that drain into Johnstone Strait or Bute Inlet rather than the Salish Sea. The Salish Sea is defined based on legal definitions used in Washington and British Columbia as consisting of the Strait of Juan de Fuca, Puget Sound, Georgia Strait, and their associated bays, channels, and inlets. Definitions of the northern border vary slightly among sources. We used a generous interpretation and included all the channels and inlets south of Johnstone Strait and Bute Inlet that connect to the Strait of Georgia. All processing and analysis was completed using the NAD 83 UTM Zone 10N projection and coordinate system.
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 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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.007 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.044 | 0.030 |
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".