MétaCan
Menu
Back to cohort
Record W2112518888 · doi:10.1177/1040638714523427

Causes of death in preweaned northern elephant seal pups ( <i>Mirounga angustirostris</i> , Gill, 1866), Año Nuevo State Reserve, California, 2012

2014· article· en· W2112518888 on OpenAlexaff
Terry R. Spraker, Ε. T. Lyons, Тetiana А. Kuzmina, Michael S. Tift, Stephen Raverty, Nicole Jaggi, Daniel E. Crocker

Bibliographic record

VenueJournal of Veterinary Diagnostic Investigation · 2014
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine animal studies overview
Canadian institutionsAbbotsford Veterinary Clinic
Fundersnot available
KeywordsRookeryElephant sealVulpesPhysiologyMedicineGross examinationSea lionBiologyPathologyZoologyEcology

Abstract

fetched live from OpenAlex

During an ongoing physiological ecology study on pups and adult female northern elephant seals (Mirounga angustirostris, Gill, 1866) on the mainland rookery at Año Nuevo State Reserve (California), an opportunity was afforded to collect fresh dead pups for parasitology and necropsy. The investigation was undertaken to delineate the causes of death of northern elephant seals recovered from Año Nuevo State Reserve. Prior to this study, there was no evidence of increased mortality or health problems on this rookery. Necropsies, histology, and ancillary diagnostic studies were conducted on 21 fresh dead preweaned pups. Ages ranged from 1 stillbirth to pups approximately 2 weeks of age. Gross lesions included varying degrees of bruising, hemorrhage, lacerations, and fractures attributed to blunt force trauma to the head, chest, and/or abdomen in 16 pups; starvation in 6 pups; bite wounds in 2 pups; generalized icterus in 2 pups; presumptive drowning in 2 pups; and 1 stillbirth. Most pups had multiple gross lesions. Following light microscopic examination, pups could be assigned into 4 general diagnostic categories: 1) trauma, 2) nutritional status, 3) infectious conditions, and 4) congenital anomalies. This investigation of preweaned pup mortality of northern elephant seals in California further refines diagnostic categories for perinatal pup mortality.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.007
Threshold uncertainty score0.872

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.027
GPT teacher head0.252
Teacher spread0.225 · 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

Citations8
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Veterinary Diagnostic InvestigationSame topicMarine animal studies overviewFrench-language works237,207