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Record W6887830690 · doi:10.17632/drrf4bxg6w.2

Pacific spiny dogfish intestine amino acid transport

2024· dataset· en· W6887830690 on OpenAlexaboutno aff

Bibliographic record

VenueMendeley Data · 2024
Typedataset
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsAmino acidSpiny dogfishNutrientOleic acidSodiumMembrane transport

Abstract

fetched live from OpenAlex

Datasets are presented for Weinrauch, Blewett, Anderson (In Prep.). See the 'metadata' text file for descriptions of individual .csv files and descriptions of column headings within. Experiments were conducted on male Pacific spiny dogfish (Squalus suckleyi) with approval from the Bamfield Marine Sciences Centre Animal Care Committee (protocol RS-21-03-R1) and collection permits from Fisheries and Oceans Canada (XR 264 2023) in Bamfield, BC, Canada in summer 2023. This dataset supported a study that examined the mechanisms of nutrient acquisition in the spiral valve intestine. To characterize the mechanisms of transport kinetic transport assays were fist conducted. To identify putative carriers of amino acids, additional fluxes were conducted in reduced sodium conditions (to deduce whether transport is sodium dependent) or alongside 100X the concentration of other amino acids known to utilise shared transport pathways in mammals. The interplay between amino acids and oleic acid was next assessed with the application of oleic acid to either the mucosal or serosal solutions. Finally, transport rates following feeding were measured. Together, this study provides new data on the mechanisms of dietary nutrient uptake and transport dynamics within an evolutionarily- and ecologically- important elasmobranch.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.224
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0090.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0050.230

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 head0.063
GPT teacher head0.313
Teacher spread0.250 · 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; both teacher heads agree on what is shown here.

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
Published2024
Admission routes1
Has abstractyes

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