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Record W2985034560 · doi:10.1676/1559-4491-131.4.850

Description of a xanthochroic House Finch ( <i>Haemorhous mexicanus</i> ) from Jalisco, Mexico

2019· article· en· W2985034560 on OpenAlexaff
Kirey Aurora Barragán-Farías, Rudit Athziri Pérez-Casanova, Alejandra Galindo‐Cruz, Jocelyn Hudon, Verónica Carolina Rosas‐Espinoza

Bibliographic record

VenueThe Wilson Journal of Ornithology · 2019
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicLivestock and Poultry Management
Canadian institutionsRoyal Alberta Museum
Fundersnot available
KeywordsFinchPlumageCamouflageCarotenoidBiologyOrange (colour)ZoologyGeographyEcologyBotany

Abstract

fetched live from OpenAlex

Plumage coloration is important to birds for communication, camouflage, physiological processes, and mate selection. In rare individuals the coloration is disrupted, which provides opportunities to scrutinize the processes that normally produce it. Male House Finches (Haemorhous mexicanus) normally sport a red head and chest, a brown back, and whitish underparts with light brown streaks. We captured a House Finch with disruptions in both melanin and carotenoid pigmentation in an urban park in Guadalajara, a city in west-central Mexico. The bird was largely orange with little eumelanin pigmentation. This is the first record of which we are aware of a hypomelanistic House Finch with carotenoids that are abnormally distributed and with an overexpression of carotenoid pigments or pheomelanins or both.

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: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.032
Threshold uncertainty score0.064

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 studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.020
GPT teacher head0.207
Teacher spread0.187 · 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 designCase report
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

Citations6
Published2019
Admission routes1
Has abstractyes

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