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Record W1978046359 · doi:10.1139/f05-189

Effects of seasonal temperature and photoperiod on Atlantic cod (<i>Gadus morhua</i>). II. Enzymes of intermediary metabolism

2005· article· en· W1978046359 on OpenAlexafffundvenue
Haude M. Levesque, Julie Bondy, Connie E. Short, James S. Ballantyne, William R. Driedzic, Thomas W. Moon

Bibliographic record

VenueCanadian Journal of Fisheries and Aquatic Sciences · 2005
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAquaculture Nutrition and Growth
Canadian institutionsMemorial University of NewfoundlandUniversity of GuelphUniversity of Ottawa
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsGadusAtlantic codphotoperiodismBiologyEnzymeEndocrinologyMetabolismAnimal scienceInternal medicineBiochemistryFisheryFish <Actinopterygii>Botany

Abstract

fetched live from OpenAlex

Atlantic cod (Gadus morhua) were held at either constant (~9 °C) or ambient ocean temperatures from December 2000 to June 2002 under natural photoperiod. The activities of gluconeogenic, glycolytic, lipid, and amino-acid-related enzymes were measured in liver and white muscle at eight time points over the experimental period. Principal component analysis reduced the 13 liver enzymes to two factors and the nine muscle enzymes to three factors. Factor scores were used to investigate the effects of season, temperature, and photoperiod on cod physiology. Liver factor I (FI) and muscle factor III (FIII) were significantly correlated with mass and length of the fish. Only liver FI was significantly correlated with tissue metabolites parameters. Significant differences between thermal groups were only observed for muscle FIII in June 2002. This study demonstrates that temperature is not a major factor determining the activity of the selected enzymes in ages-1+ to -3+ cod. Photoperiod and internal physiological cycles are more important in determining liver and muscle enzyme activities. Most liver enzymes measured are better indicators of fish growth than muscle enzyme, and liver protein is the parameter that best correlates with body mass, length, and liver mass.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.011

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)0.0010.000

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 head0.007
GPT teacher head0.187
Teacher spread0.180 · 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 designBench or experimental
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

Citations6
Published2005
Admission routes3
Has abstractyes

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Same venueCanadian Journal of Fisheries and Aquatic SciencesSame topicAquaculture Nutrition and GrowthFrench-language works237,207