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Record W1553160036 · doi:10.2331/fishsci.68.sup2_1037

Effects of cold shock and cortisol on heat shock protein levels in rainbow trout

2002· article· en· W1553160036 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueFisheries Science · 2002
Typearticle
Languageen
FieldEnvironmental Science
TopicPhysiological and biochemical adaptations
Canadian institutionsInstitute for Marine BiosciencesUniversity of British Columbia
FundersNatural Sciences and Engineering Research Council of CanadaUniversity of British ColumbiaMinistry of Education, Culture, Sports, Science and Technology
KeywordsRainbow troutEndocrinologyHeat shock proteinInternal medicineHsp70Shock (circulatory)BiologyHydrocortisoneCold stressEndocrine systemFish <Actinopterygii>HormoneMedicineBiochemistryFishery

Abstract

fetched live from OpenAlex

The effect of cold shock and increased levels of circulating cortisol on heat shock proteins (Hsp) levels in rainbow trout (Oncorhynchus mykiss) were examined. Cold shock: When the cultured hepatocytes were exposed to cold (at 4°C for 2h), Hsp 70 level in hepatocytes were similar to that in control. However, Hsp 30 was markedly induced by cold shock. Cortisol: The high concentration of circulating cortisol (pharmacological levels) was found to reduce the Hsp 70 levels in liver and gill of cortisol implanted fish (50 μg cortisol/g body weight) exposed to heat shock (at 22°C for 2h) compared to the sham. These results suggest that the expressions of Hsp 30 and 70 in cell may be affected by cold stress response and circulating cortisol levels in fish, respectively. Furthermore, cellular stress response, such as Hsp expression, might be related with neuroendocrine/endocrine system in fish.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.440
Threshold uncertainty score0.443

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.020
GPT teacher head0.204
Teacher spread0.184 · 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