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Record W7165022589 · doi:10.21199/wb36.4.6

NOTES: AN UNUSUAL HIGH COUNT OF PACIFIC LOONS FROM A FRESHWATER LAKE IN BRITISH COLUMBIA

2005· article· W7165022589 on OpenAlexaboutno aff
Theodore G. Tobish, GARY H. ROSENBERG

Bibliographic record

VenueWestern Birds · 2005
Typearticle
Language
FieldEnvironmental Science
TopicWildlife-Road Interactions and Conservation
Canadian institutionsnot available
Fundersnot available
KeywordsOvercastShoreWaterfowlVisibilityCloud coverCeilometerPlumage

Abstract

fetched live from OpenAlex

In the evening (approximately 20:30) of 5 June 2004, while traveling north on the Cassiar Highway (British Columbia Route 37), we stopped at the Hodder Lake Wayside (BC 37 km 246.5), located on the west shore of Hodder Lake some 90 km north of the intersection with BC 37A at Meziadin Junction. On this roughly 10-hectare lake we saw a scattered assortment of waterfowl and an extremely large, conspicuous raft of birds. From a distance of approximately 1 km, we scoped this group and observed a uniform, very tight mass of Pacific Loons (Gavia pacifica), all of which were in definitive alternate plumage (Figure 1). Counting in blocks of ten, we conservatively estimated 1070 individuals, and we noted that during our 20 minutes of viewing this group, none of the birds appeared to be diving. Also on the lake, away from this main raft, was an aggregation of 26 Common Loons (G. immer) and four Yellow-billed Loons (G. adamsii), also all in definitive alternate plumage. During the preceding hours, while we were driving the Cassiar Highway from Stewart, British Columbia, at the head of Portland Canal and tidewater, the weather was predominantly very low overcast with scattered drizzle and patchy ground-fog. At times along this stretch of road, the cloud cover and local fog was well below the adjacent ridges (1100–2000 m). There was little wind, and visibility rarely exceeded 1 km.

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 score0.535
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 communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0200.001

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 head0.012
GPT teacher head0.225
Teacher spread0.213 · 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
Published2005
Admission routes1
Has abstractyes

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