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Daytime Spring Migrations of Scoters (Melanitta spp.) in the Bay of Fundy

2007· article· en· W1991612931 on OpenAlexaff
Alexander L. Bond, Peter W. Hicklin, M. Evans

Bibliographic record

VenueWaterbirds · 2007
Typearticle
Languageen
FieldEnvironmental Science
TopicAvian ecology and behavior
Canadian institutionsMount Allison UniversityUniversity of New Brunswick
Fundersnot available
KeywordsBaySpring (device)White (mutation)BiologyDiel vertical migrationFisheryThe arcticArcticGeographyEcologyZoologyOceanographyArchaeologyGeology

Abstract

fetched live from OpenAlex

Each spring, Black Scoters (Melanitta nigra), Surf Scoters (M. perspicillata) and White-winged Scoters (M. fusca), pass through the Bay of Fundy in daytime on their northward migration to the sub-arctic breeding grounds. Their migrations along the Fundy coast were monitored from the Point Lepreau Bird Observatory at Point Lepreau, New Brunswick, from 1996 to 2004. Black Scoters migrated first (peak migration day: 13-17 April), followed by Surfs (23-25 April) and White-wings (22-28 April) which migrated together, although White-wings persisted over a longer period. Based on their rates of passage, we estimated the relative proportions of the wintering eastern North American populations of scoters, assumed to be of breeding age, which migrated by Point Lepreau each spring. We determined that 6-18% and 28-37% of the North American breeding populations of Surf Scoters and Black Scoters, respectively, utilized this northward migration route annually. The low numbers of White-wings (0.4-0.6%) suggested that larger numbers of this species employed a different migration route in spring or migrated at night. This observatory offers an exceptional facility for monitoring this group of sea ducks, over time.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.929
Threshold uncertainty score0.141

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.012
GPT teacher head0.239
Teacher spread0.227 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations11
Published2007
Admission routes1
Has abstractyes

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