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Record W2143713561

Heritability of acoustic signalling time in the Texas field cricket, Gryllus texensis

2007· article· en· W2143713561 on OpenAlexaff
Susan M. Bertram, Darrell J. Kemp, Jennifer Johnson, S. Xochitl Orozco, Root Gorelick

Bibliographic record

VenueResearchOnline at James Cook University (James Cook University) · 2007
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicOrthoptera Research and Taxonomy
Canadian institutionsCarleton University
FundersJames Cook UniversityUniversity of Texas at AustinArizona State UniversityNational Institutes of HealthNational Science Foundation
KeywordsHeritabilityCricketBiologyField cricketZoologyEvolutionary biologyStatisticsMathematics
DOInot available

Abstract

fetched live from OpenAlex

Hypothesis: Heritability estimates of total nightly signalling time will be equal for a contemporary data set in Austin (Texas) and an earlier data set collected 127 km away in San Antonio (Texas). Organism: Texas field cricket, Gryllus texensis (Gryllidae: Orthoptera). Background: A corpus of work has been done on Gryllus texensis in Austin, Texas with the underlying assumption that heritability values from San Antonio, Texas apply. Methods: Previous study – realized heritability estimated using an artificial selection experiment. Current study – narrow sense heritability estimated using parent–offspring, full-sib/half-sib, and restricted maximum likelihood methods. Results: Heritability of total nightly signalling time was previously computed as 0.50 and 0.53 for the San Antonio crickets. However, heritability of total nightly signalling time in the Austin crickets is estimated at only 0.006 ± 0.045. In Austin, only a small portion (1.5 ± 11%) of the genetic variance in total signalling time is additive.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.007
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
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 head0.216
Teacher spread0.197 · 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

Citations8
Published2007
Admission routes1
Has abstractyes

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