Bibliographic record
Abstract
Greater White-fronted Goose Only one reported, at Blendon Woods MP in Franklin on 13 Mar (Kristi Rowland). Snow GooseSingle-digit numbers reported 5 Mar to 2 May in Darke, Greene, Lorain, Lucas, Mahoning, Medina, Muskingum, Ottawa, and Wyandot, with 24 at ONWR on 7 Mar (March monthly census). ross's GooseOne reported on 5 Mar in Lawrence (Todd Deal). Cackling GooseOne reported on 12 Mar at Killdeer, Wyandot/Marion (Will Condit). Canada GooseNumerous reports from throughout the state. Mute SwanThis species is widely reported but concentrated in the northern counties.Twenty-eight was the high count on 7 Mar at ONWR during the monthly census.tundra Swan Many reported around the state, with Lucas, Ottawa, and Wayne recording numbers in the How could an event like the Biggest Week in American Birding get even bigger?Kenn Kaufman accomplished this with his discovery of a male Kirtland's Warbler 14 May along East Beach, Magee, Ottawa.The bird remained for much of the day, actively foraging in and around the estimated 1,000 excited birders who got to see and photograph this rare, and even more rarely found, species.Dave Lewis captured this beautiful image as the bird worked its way through the willows and sumacs along the beach.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.798 | 0.702 |
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".