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Record W2084067162 · doi:10.1139/z01-209

Localization of cells from the winter flounder gill expressing a skin type antifreeze protein gene

2002· article· en· W2084067162 on OpenAlexfundvenueno aff
Harry M. Murray, Choy L. Hew, Ken Kao, Garth L. Fletcher

Bibliographic record

VenueCanadian Journal of Zoology · 2002
Typearticle
Languageen
FieldEnvironmental Science
TopicPhysiological and biochemical adaptations
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsWinter flounderBiologyIn situ hybridizationMolecular biologyAntifreeze proteinComplementary DNAAntibodyGene expressionImmunocytochemistryMessenger RNAAntifreezeImmunohistochemistryCell typeGeneFlounderCellFish <Actinopterygii>BiochemistryImmunologyEndocrinology

Abstract

fetched live from OpenAlex

In situ hybridization on whole mounts and paraffin-sectioned winter flounder (Pleuronectes americanus) gill, using riboprobes specific to a skin type antifreeze protein (AFP) gene, showed a mRNA distribution associated with cells throughout the filament and the lamellae. Immunohistochemistry using antibodies for a skin-type AFP identified cells corresponding to those detected using in situ hybridization. Parallel experiments with antibodies for chloride-cell markers showed that these cells were not involved in antifreeze-protein expression. Similarly, goblet cells did not show cross-reactivity with the AFP antibodies. This general distribution suggested that pavement cells were likely involved. Reverse transcription polymerase chain reaction using gill cDNA templates and subsequent sequencing of the products confirmed the presence of skin type AFP transcripts in this tissue. Expression of a AFP in this area may act as a first line of defence against ice-crystal migration into peripheral tissues.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.021
GPT teacher head0.191
Teacher spread0.169 · 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

Citations14
Published2002
Admission routes2
Has abstractyes

Explore more

Same venueCanadian Journal of Zoology→Same topicPhysiological and biochemical adaptations→French-language works237,207→