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Record W3010940025 · doi:10.1111/joa.13180

A morphometric analysis of the lungs of high‐altitude ducks and geese

2020· article· en· W3010940025 on OpenAlexaff
Ciska Bakkeren, Emily Smith, Julia M. York, Beverly Chua, Kevin G. McCracken, William K. Milsom

Bibliographic record

VenueJournal of Anatomy · 2020
Typearticle
Languageen
FieldEnvironmental Science
TopicAvian ecology and behavior
Canadian institutionsUniversity of British Columbia
FundersUniversity of MiamiNational Science Foundation
KeywordsGooseEffects of high altitude on humansAltitude (triangle)BiologyAnasLungZoologyLung volumesBrantaAnatomyEcologyMedicineInternal medicine

Abstract

fetched live from OpenAlex

Abstract We examined the morphology of the lungs of five species of high‐altitude resident ducks from Lake Titicaca in the Peruvian Andes (yellow‐billed pintail [ Anas georgica ], cinnamon teal [ Anas cyanoptera orinomus ], puna teal [ Anas puna ], speckled teal [ Anas flavirostris oxyptera ], and ruddy duck [ Oxyura jamaicensis ferruginea ]) and compared them with those of the high‐altitude migratory bar‐headed goose ( Anser indicus ) and the low‐altitude migratory barnacle goose ( Branta leucopsis ). We then determined the relationship between mass‐specific lung volume, the volume densities of the component parts of the lung, and previously reported hypoxia‐induced increases in pulmonary O 2 extraction. We found that the mass‐specific lung volumes and the mass‐specific volume of the exchange tissue were larger in the lungs of high‐altitude resident birds. The bar‐headed goose had a mass‐specific lung volume that fell between those of the low‐altitude species and the high‐altitude residents, but a mass‐specific volume of exchange tissue that was not significantly different than that of the high‐altitude residents. The data suggest that the mass‐specific volume of the lung may increase with evolutionary time spent at altitude. We found an inverse relationship between the percentage increase in pulmonary O 2 extraction and the percentage increase in ventilation across species that was independent of the volume density of the exchange tissue, at least for the resident Andean birds.

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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
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
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.007
GPT teacher head0.230
Teacher spread0.223 · 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 teacher head, not a consensus.

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

Citations11
Published2020
Admission routes1
Has abstractyes

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