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Record W1967877433 · doi:10.1093/icb/icv013

Links between Osmoregulation and Nitrogen-Excretion in Insects and Crustaceans

2015· article· en· W1967877433 on OpenAlexaff
Dirk Weihrauch, Michael J. O’Donnell

Bibliographic record

VenueIntegrative and Comparative Biology · 2015
Typearticle
Languageen
FieldEnvironmental Science
TopicCrustacean biology and ecology
Canadian institutionsMcMaster UniversityUniversity of Manitoba
Fundersnot available
KeywordsMalpighian tubule systemBiologyMidgutGillOsmoregulationCrustaceanHepatopancreasExcretionBiochemistryHindgutExcretory systemATPaseBiophysicsAnatomyZoologyEcologyFisheryEnzymeFish <Actinopterygii>

Abstract

fetched live from OpenAlex

The epithelia involved in ionoregulation and detoxification in crustaceans and insects are quite distinct: the gills, hepatopancreas, and antennal gland serve these functions in crustaceans, whereas the Malpighian tubules, hindgut, and, to some extent, the midgut, are involved in insects. This article compares the means by which the Na(+)/K(+)-ATPase and the vacuolar type H(+)-ATPase are used to energize ionoregulatory processes in both groups. The vacuolar H(+)-ATPase is particularly important as a generator of both H(+) gradients and transmembrane electrical gradients that can be used to energize electroneutral or electrogenic exchange of Na(+) and/or K(+) for H(+). In addition to cation:proton antiporters, epithelia in both groups depend upon the activity of Na(+):K(+):2Cl(-) cotransporters, Cl(-)/[Formula: see text] exchangers, and channels for K(+) and Cl(-) for transepithelial ion transport. This article also contrasts the dominant role of ammonia as the primary nitrogenous waste in crustaceans, with the excretion of ammonia, uric acid, or both in insects.

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)0.000
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 score0.026
Threshold uncertainty score0.466

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 head0.067
GPT teacher head0.301
Teacher spread0.234 · 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

Citations34
Published2015
Admission routes1
Has abstractyes

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