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Record W7158156888 · doi:10.5061/dryad.rjdfn2zqz

Physiological and behavioral dataset of squid exposed to ocean acidification

2025· dataset· en· W7158156888 on OpenAlexaff
Yung‐Che Tseng, Garett J. P. Allen, Jia-Jiun Yan, Pou-Long Kuan, Oki Hayasaka, Shao-Chun Hsu, Mei‐Yeh Jade Lu, Kazuhiko Anraku, Guan-Chung Wu

Bibliographic record

VenueDRYAD · 2025
Typedataset
Languageen
Field
Topic
Canadian institutionsAcadia University
Fundersnot available
KeywordsSquidOcean acidificationSeawaterHemolymphVisualizationInvertebrate

Abstract

fetched live from OpenAlex

This dataset contains the raw data associated with the manuscript "Neurometabolic rewiring in optic lobes of squid drives behavioral plasticity and visual integration under environmental acidification.” It includes physiological measurements (metabolism and hemolymph parameters), visual physiology, and behavioral data from squid exposed to hypercapnic seawater (pH 7.8) under both acute (7 days) and chronic (90 days) conditions, along with corresponding control data collected at pH 8.2. All R scripts for data processing, analysis, and visualization are provided within this dataset.

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 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 score0.021
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.072
GPT teacher head0.365
Teacher spread0.293 · 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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