Censuses of autumn staging and wintering goose populations in Sweden 1977/1978—2011/2012
Bibliographic record
Abstract
Field choice was recorded during counts of geese in South-west Scania, South Sweden in autumn (October and November) and in winter (January), 1977/1978—2011/2012. Sugar beet spill was the most important field type in autumn and during the last ten years also in winter. Bean Geese Anser fabalis used this food source when the study started while Canada Geese Branta canadensis, Greylag Geese Anser anser, White-fronted Geese Anser albifrons and Barnacle Geese Branta leucopsis followed during the years 1987—2001. Potatoes were mainly used when fields with sugar beet spill were unavailable. Cereal stubbles were mainly used in autumn and to a quite low extent. Winter cereals were heavily used by most species in both autumn and winter during the first 15 years but less so thereafter. Grasslands were mainly used in winter, to a large extent by White-fronted Geese and to a quite high extent by Bean Geese and Barnacle Geese. The total use of oilseed rape was low, mainly by Canada Geese that utilised fields with no-till when the ground was snow-covered.
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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 | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".