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Record W2163936564 · doi:10.1675/063.037.sp107

Common Loons (<i>Gavia immer</i>) Wintering off the Louisiana Coast Tracked to Saskatchewan during the Breeding Season

2014· article· en· W2163936564 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueWaterbirds · 2014
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine animal studies overview
Canadian institutionsnot available
FundersU.S. Geological Survey
KeywordsGeographySatellite trackingFisheryBreedSeasonal breederSatelliteEcologyArchaeologyBiology

Abstract

fetched live from OpenAlex

Common Loon (Gavia immer) migration pathways have been previously identified using resightings, band recoveries, and satellite tracking with platform terminal transmitters, but there remains much to be learned. No band recoveries or resightings of Common Loons from Louisiana have been documented to date, and it is unclear where Common Loons from this region migrate and breed. On 29 March 2011, as part of a pilot study, we implanted two platform terminal transmitters in Common Loons wintering off the Louisiana coast. Both individuals migrated to Saskatchewan, Canada. Previous research using satellite telemetry on migrating Common Loons in the western USA states (Nevada and Montana) showed they migrated to Saskatchewan, but wintered at Lake Mead, Nevada, the Gulf of California and the Pacific Ocean. Our findings are of interest as Common Loons from the same breeding area in Saskatchewan overwinter in different regions of North America.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.213
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.009
GPT teacher head0.217
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