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Record W2113791046 · doi:10.3354/meps210195

Estimating hatchling sex ratios of loggerhead turtles in Cyprus from incubation duration

2001· article· en· W2113791046 on OpenAlexaff
Brendan J. Godley, Annette C. Broderick, N. Mrosovsky

Bibliographic record

VenueMarine Ecology Progress Series · 2001
Typearticle
Languageen
FieldEnvironmental Science
TopicTurtle Biology and Conservation
Canadian institutionsUniversity of Toronto
FundersNorth of England Zoological SocietyJohns Hopkins UniversityEuropean CommissionBritish Ecological SocietyUniversity of GlasgowEcological Society of America
KeywordsHatchlingTurtle (robot)IncubationBiologyEcologySex ratioGeographyDemographyFisheryZoologyLibrary sciencePopulationComputer scienceSociology

Abstract

fetched live from OpenAlex

Incubation durations for loggerhead turtles Caretta caretta nesting at Alagadi, in Northern Cyprus, were recorded over 6 full seasons (1993 to 1998).Because incubation duration depends on temperature, it was possible to convert data on durations to hatchling sex ratios, using extensive data from other areas on the relationship between these 2 variables.It was estimated that 89 to 99% of the hatchlings produced on Alagadi beach were females.These findings provide a further instance of highly female-skewed sex ratios in loggerhead turtles.

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)0.002
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 score0.018
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.009
GPT teacher head0.227
Teacher spread0.218 · 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

Citations82
Published2001
Admission routes1
Has abstractyes

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