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Record W2004714790 · doi:10.1139/z00-077

Blood volume in hooded seals: implications for diving capacity

2000· article· en· W2004714790 on OpenAlexvenueno aff
Arnaud Cabanac

Bibliographic record

VenueCanadian Journal of Zoology · 2000
Typearticle
Languageen
FieldMedicine
TopicCardiovascular and Diving-Related Complications
Canadian institutionsnot available
FundersInstytut Biologii Medycznej Polskiej Akademii Nauk
KeywordsBiologyHematocritAnimal scienceBasal metabolic rateFur sealBlood volumeMetabolic rateJuvenileAnatomyInternal medicineEndocrinologyEcology

Abstract

fetched live from OpenAlex

Plasma volumes of seven adult hooded seals, Cystophora cristata (two males and five females; body mass (M) range = 110-234 kg), captured on sea ice off east of Greenland during breeding (March-April), ranged between 35 and 54 mL/kg M (median = 46.5 mL/kg M). Linear regression analysis of haemoglobin (Hb) concentrations (g/dL) and hematocrit (Hct; %) levels in venous blood yielded: Hb = 0.296Hct + 5.53 (r 2 = 0.96, n = 7). Aortic Hct of 11 adult and juvenile seals with contracted and dilated spleens ranged between 62 and 67% (median = 66.5%, n = 5) and 50 and 67.5% (58.5%, n = 6), respectively, with the differences between groups being significant (p < 0.05). The calculated blood volume range was 104-162 mL/kg M (median = 139 mL/kg M, n = 7). The skeletal muscle mass of two adult females represented 30.8 and 28.1% of their M. Based on this, the body oxygen store of a 150-kg seal was estimated to be 9.8 L O 2 , of which only about 0.9 L O 2 (9%) could be stored in the fully dilated spleen. In assuming a diving aerobic metabolic rate of 1-2 times the predicted basal metabolic rate, the calculated aerobic dive limit was estimated to be 11.3-22.6 min.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score0.992

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)0.0000.000

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 head0.025
GPT teacher head0.248
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.

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

Citations11
Published2000
Admission routes1
Has abstractyes

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