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Record W1893877080 · doi:10.28947/hrmo.2008.9.2.78

Crecimiento de polluelos y desarrollo del plumaje del colibrí barba negra (Archilochus alexandri)en el sureste de Arizona

2022· article· es· W1893877080 on OpenAlexaff
Harold F. Greeney, Eric R. Hough, Chris E. Hamilton, Susan M. Wethington

Bibliographic record

VenueHuitzil Revista Mexicana de Ornitología · 2022
Typearticle
Languagees
FieldAgricultural and Biological Sciences
TopicBat Biology and Ecology Studies
Canadian institutionsTrent University
FundersU.S. Fish and Wildlife ServiceMaryland Ornithological Society
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Estudiamos el desarrollo del plumaje y crecimiento de los polluelos del colibrí barba negra (Archilochus alexandri) en el sureste de Arizona, EUA. Los polluelos vuelan después de 20-22 días de haber eclosionado y llegan a un peso máximo de 4.16 g antes de comenzar a volar; lo que representa aproximadamente el 126% del peso de los adultos. Los polluelos nacen con 11 pares de neossoptiles de color café claro, organizados en dos hileras dorsales. Las plumas del cuerpo comienzan a emerger de la piel a los 6 días de edad. Las plumas de las alas comienzan a emerger alrededor de los 12 días, y las plumas del cuerpo comienzan a emerger alrededor de los 9 días de edad. Aquí presentamos una guía fotográfica que será útil para estimar la edad de los polluelos en campo, con base en el desarrollo de las plumas, así como los primeros registros publicados de las tasas crecimiento de esta especie.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.122
Threshold uncertainty score0.242

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.019
GPT teacher head0.264
Teacher spread0.245 · 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 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

Citations10
Published2022
Admission routes1
Has abstractyes

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