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Thermal physiology of the Patagonian limpet Nacella deaurata

2021· dataset· en· W6894290229 on OpenAlexaff

Bibliographic record

VenueNERC Environmental Data Service · 2021
Typedataset
Languageen
Field
Topic
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsLimpetIntertidal zoneGastropodaMollusca

Abstract

fetched live from OpenAlex

This is a physiological dataset for the Southern Patagonian limpet, Nacella deaurata. The limpets were collected from 2-6m depth in the Straits of Magellan near to Punta Arenas (53.164 S, 70.917 W) between Nov and the end of Jan 2018-19. A 2 month feeding experiment maintained N. deaurata at 1,4,8,11 and 14 °C for 2 months. Ingestion rate, absorption efficiency, absorption rate, oxygen consumption (uptake), scope for growth and mortality were measured. The thermal reaction norm for duration tenacity of field fresh subtidal and intertidal limpets, as well as subtidal limpets that were incubated at 8 °C for 2 months was investigated. The thermal reaction norm of radula scraping rates of field fresh limpets was measured. This work was funded by the Center FONDAP-IDEAL 15150003, ANID Chile and NERC core funding to the British Antarctic Survey.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.057
Threshold uncertainty score0.114

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.005

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 head0.025
GPT teacher head0.238
Teacher spread0.213 · 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 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
Published2021
Admission routes1
Has abstractyes

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