Bibliographic record
Abstract
Mammal counts (Table 1) were received from 95 of the 99 localities submitting Christmas Bird Counts (CBC).The 33 species of mammals seen or heard on count day was second only to last year's 35 species and tied totals for 2002, 1995 and 1991.The most abundant mammal was the White-tailed Deer, closely followed by the Mule Deer.The American Red Squirrel and Pronghorn placed third and fourth.The most frequently seen mammals involved the White-tailed Deer on 71% of all counts, the Coyote on 59%, the American Red Squirrel on 53%, and the Mule Deer on only 38%.No new species were recorded, but the Least Chipmunk was recorded for only the third time and for the second year in a row.One was seen at Fort Qu'Appelle.The previous records include one seen at Archerwill and tracks noted at Saskatoon in 2003.Another good find for the Fort Qu'Appelle count was a Short-tailed Shrew.A Fisher on the Spinney Hill count was south of its normal boreal forest range.Although identified only by tracks, a Woodland Caribou at Candle Lake was of interest as was a den considered to be that of a Swift Fox in Grasslands National Park.For information on participants, weather, coverage and location of Christmas Mammal Counts see the CBC summary in this issue.Hie number of mammals actually seen or heard on count day is treated separately from those recorded by other means, or those recorded during count period (14 December to 5 January, as with the CBC) but not on count day.Numbers of individuals seen or heard are given in the table and are tallied in the first line of totals at the bottom of Table 1.Hie number of species they represent is given in the second line.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.121 | 0.031 |
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".