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Record W2805793038 · doi:10.21199/wb49.2.6

ONSHORE FORAGING BY AN EARED GREBE

2018· article· en· W2805793038 on OpenAlexaboutno aff
Jeffery T. Wilcox

Bibliographic record

VenueWestern Birds · 2018
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine and fisheries research
Canadian institutionsnot available
Fundersnot available
KeywordsForagingOptimal foraging theoryZoologyGeographyFisheryEcologyBiology

Abstract

fetched live from OpenAlex

The eared Grebe (Podiceps nigricollis) is an aquatic, largely halophilic, species that inhabits open waters of the western half of North America (Jehl 1988, Grinnell and Miller 1944). A diving bird, it feeds primarily on benthic invertebrates (cramp and Simmons 1977, Winkler and cooper 1986, Jehl 1988, roberts et al. 2013) but also gleans invertebrates from the water surface (fjeldså 1981). eared Grebesbreed colonially in large freshwater lakes and marshes throughout the western United States and canada, but at other life stages are uniquely adapted to use water of high salinity (Boe 1994, ryser 1985). immediately after breeding, eared Grebes migrate to large inland saline lakes with abundant food sources, where they congregate and molt, becoming flghtless (Jehl 1988, ryser 1985, cogswell 1977). once the molt has ended and food resources are exhausted (between october and february), large numbers of eared Grebes depart these inland saline lakes and spend the remaining winter months in open ocean (Jehl 1988). The species overwinters primarily in the Gulf of Mexico (Jehl and McKernan 2002), but coastal waters the entire length of california—including the channel islands (Howell 1917)—may host large wintering populations as well (Grinnell and Miller 1944). At Mono lake, a large saline lake in eastern california, eared Grebes feed on brine shrimp (Artemia monica) and brine fles (Ephydra hians), the latter often gleaned from the emergent bases of tufa towers (Jehl 1988). Here, i report a previously undescribed terrestrial gleaning behavior on a sandy ocean beach.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.883
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)0.0110.001

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 head0.021
GPT teacher head0.279
Teacher spread0.258 · 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

Citations1
Published2018
Admission routes1
Has abstractyes

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