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Record W7165017080 · doi:10.21199/wb37.1.6

NOTES: GIANT CANADA GOOSE IN WASHINGTON

2006· article· W7165017080 on OpenAlexaboutno aff
STEVEN G. MLODINOW, DOUG SCHONEWALD, DENNY GRANSTRAND

Bibliographic record

VenueWestern Birds · 2006
Typearticle
Language
FieldEnvironmental Science
TopicAvian ecology and behavior
Canadian institutionsnot available
Fundersnot available
KeywordsGooseSubspeciesWhite (mutation)Spring (device)Cave

Abstract

fetched live from OpenAlex

On 4 December 2004 Granstrand found and photographed Washington’s first fully documented Giant Canada Goose (Branta canadensis maxima) of apparently wild origin near Yakima, Yakima County (Figure 1). On 15 January 2005 he found another at Ice Harbor Dam, Walla Walla County (Mlodinow et al. 2005). Figure 1 shows that the bird at Yakima had white extending back from the top of the cheek patch as well as a white bar across the forehead. Both marks typify maxima, though occasionally other subspecies of the Canada Goose display them, as do some intergrades (Hanson 1997). Additionally, maxima is typically somewhat whiter breasted than B. c. moffitti (Hanson 1997), the common large Canada Goose of Washington and surrounding states and provinces (Johnsgard 1975, Bellrose 1976), and this is evident in Figure 1. Also detectable in the photograph is that the white cheek strap meets the base of the bill. This mark is often present in maxima and is atypical of other taxa (B. Jones in litt). Granstrand also noted this bird’s wing being larger than the nearby examples of moffitti and its proportionally longer neck (not readily evident in the photograph because of the bird’s posture), both features suggesting maxima (Hanson 1997).

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.184
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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.

Opus teacher head0.010
GPT teacher head0.218
Teacher spread0.208 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2006
Admission routes1
Has abstractyes

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