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data and script for Banousse et al: <b>Genetic and environmental basis of transcriptional thermal plasticity of brook charr fry</b>

2025· dataset· en· W6977472658 on OpenAlexaboutno aff

Bibliographic record

VenueOPAL (Open@LaTrobe) (La Trobe University) · 2025
Typedataset
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsData fileBasis (linear algebra)Code (set theory)Genetic dataPartition (number theory)Gene

Abstract

fetched live from OpenAlex

<b>DB_Brain_chip_Laval_calculation.xlsx</b>: This file contains the calculation of N0 (following Tuomi et al. 2010) and Dct (DN<sub>0</sub>) derived from the Crt, which is the fractional PCR cycle number where fluorescence crosses the quantification threshold.<b>DB_dct_Brain_chip_Laval_Box_Cox.csv</b>: This file includes the dct transformed values (using Box-Cox transformation) for each of the 10 genes (AVT1, BDNF, CART, CCK.L, CIRBPA, DCX, NEUROD1, NPY, PCNA, SOX2).<b>Code_LMM_Brain_chip_Laval.Rmd</b>: This script contains the code used to assess the Linear Mixed Models (LMM) for each of the 10 genes analyzed.<b>data_for_ASREML.zip:</b> This zip file contains the same data as <b>DB_dct_Brain_chip_Laval_Box_Cox.csv</b>, but it is divided based on the parental thermal regimes (cold and warm). Additionally, it includes the pedigree matrix. These files are used in the (<b>ASREML_Brain_chip_Laval.Rmd)</b> to perform quantitative genetic analysis and partition the variance in gene expression into genetic, environmental, and parental components.<b> </b><b>ASREML_Brain_chip_Laval.Rmd: the code script used for the quantitative genetic analysis</b><b>data_for_G X E _analysis.zip : </b>This zip file contains the data used in the <b>GxE_Analysis_Brain_chip_Laval.Rmd</b> script to assess the genotype-by-environment analysis. It includes data exclusively for full-sib families, treated as a single genotype.<b>G X E Analysis_Brain_chip_Lval.Rmd</b><b>: </b>This script contains the code used to perform the genotype-by-environment (GxE) analysis.<br>

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.033
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0040.004
Research integrity0.0000.001
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 head0.023
GPT teacher head0.243
Teacher spread0.220 · 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 designNot applicable
Domainnot available
GenreDataset

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

Citations0
Published2025
Admission routes1
Has abstractyes

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Same venueOPAL (Open@LaTrobe) (La Trobe University)French-language works237,207