Bibliographic record
Abstract
The following resource is based on content included in a special publication providing an overview of the visiting and nesting birds that have traveled through Nova Scotia’s Bay of Fundy region and made a stopover on Brier Island. This resource contains a list of what is or has been present on and around the island. NOTE: Not all taxa recorded in this list are regular visitors or inhabitants of the island - any migratory species might be found moribund on the coast or taking refuge on a ship’s rigging in the middle of the Bay of Fundy. This version of the resource contains species presence information only and the observation location information has been generalized to a nominal set of coordinates for the island. Please consult the original publication (Mills and Laviolette, 2011) for detailed information on each species. The 356 species described in the manuscript were classified based on the American Ornithologists' Union checklist (http://checklist.aou.org/). This resource has retained this classification but each taxon has also been associated with scientific name IDs (life science identifiers/LSIDs) based upon entries in the World Register of Marine Species (WoRMS) or the Integrated Taxonomic Information System (ITIS). This version of the resource contains observations from 1880 to January 1, 2016.
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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.001 | 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) | 0.054 | 0.044 |
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".