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Histochemical Analyses of Digestive Enzymes in the Intestine of Adult Large-Scaled Gurnard (Lepidotrigla Cavillone, Lacepède, 1801)

2011· article· en· W1894784214 on OpenAlexaff
Zvonimir Kozarić, Zorica Petrinec, Snježana Kužir, Emil Gjurčević, Branimir Baždarić

Bibliographic record

VenueAnatomia Histologia Embryologia · 2011
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAquaculture Nutrition and Growth
Canadian institutionsDalsa Corporation
Fundersnot available
KeywordsAlkaline phosphataseDigestion (alchemy)Small intestineEsteraseBiologyEnzymeBiochemistryAminopeptidaseAcid phosphataseMolecular biologyChemistryAmino acidLeucineChromatography

Abstract

fetched live from OpenAlex

Localization and activity levels of the following digestive enzymes in the intestine of free-living large-scaled gurnard were determined: non-specific esterase, alkaline and acid phosphatase as well as aminopeptidase. Enzymatic activity of the four enzymes was confirmed in all intestine parts but with different distribution through the enterocytes and varying in diverse intensity according to intestine part. This research is part of a broader research project on the biology of economically important fish from the Adriatic Sea. Our study reveals that in the large-scaled gurnard, the middle and posterior intestinal segments play the major role in digestion and absorption of proteins, whereas all parts of the intestine participate in lipid absorption and intracellular digestion. The high protein and lipid content in the diet of the large-scaled gurnard is most likely responsible for high activities of esterase, alkaline phosphatase and aminopeptidase, as they are involved in digestion and absorption of proteins and lipids.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.295
Threshold uncertainty score0.470

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.043
GPT teacher head0.272
Teacher spread0.228 · 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 teacher head, 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

Citations7
Published2011
Admission routes1
Has abstractyes

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