Weather Effects on Autumn Nocturnal Migration of Passerines on Opposite Shores of the St. Lawrence Estuary
Bibliographic record
Abstract
Nous avons modlis l'intensit migratoire automnale en fonction de la mto, en utilisant des mesures de la migration nocturne prises la fois sur la rive nord (Cte-Nord) et la rive sud (Gaspsie) de l'estuaire du Saint-Laurent, Qubec, Canada, l'aide d'un radar Doppler de surveillance mtorologique. Ce radar effectue des balayages des angles ngatifs, une caractristique rare chez les radars mto qui permet entre autres, de relever des donnes de migration d'oiseaux basse altitude et simultanment de chaque ct de l'estuaire. Nos rsultats montrent que les prcipitations et le vent avaient de forts effets sur l'intensit migratoire. Peu d'oiseaux migraient quand % ou plus du territoire tait affect par des prcipitations, particulirement en combinaison avec des vents forts. Les plus fortes intensits migratoires taient associs avec des vents lgers, peu importe la direction du vent; par vents forts, la migration tait plus probable quand les vents avaient une composante nord. Un vnement de conditions mto adverses la migration s'ensuivait d'une augmentation de l'intensit migratoire sur la Cte-Nord, mais pas en Gaspsie. Le passage d'un front -99 -
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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 | 0.000 |
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 teacher head, 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".