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Record W2985379167

Physiology, Osmoregulation and Excretion

2019· article· en· W2985379167 on OpenAlexaff
Jiatong Chen, Sarah Sabir, Yasir Al Khalili

Bibliographic record

VenueStatPearls · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMuscle metabolism and nutrition
Canadian institutionsMcMaster University
Fundersnot available
KeywordsIntracellular FluidExtracellular fluidOsmoregulationFluid compartmentsBody fluidHomeostasisExcretionBody waterIntracellularExtracellularRenal physiologyTranscellularHydrostatic pressureCytosolBiologyTubular fluidInterstitial fluidChemistryEndocrinologyInternal medicineBiophysicsKidneyBiochemistryReabsorptionEcologyBody weightSalinityMedicine
DOInot available

Abstract

fetched live from OpenAlex

As living organisms, the maintenance of fluid balance is critical to sustaining many bodily functions, including metabolic and biochemical reactions, transport of nutrients and thermoregulation. The average adult has roughly 65% fluid mass, with this value being slightly lower in females than males. Our body fluids may subcategorize into intracellular and extracellular fluid compartments. [1] [2] [3] Intracellular fluid, also considered as the cytosol, is all the fluid contained within cells. The intracellular fluid makes up roughly two-thirds of the total body volume.Extracellular fluid constitutes the remaining one-third of fluid volume in the body and may further divide into its interstitial, intravascular and transcellular compartments. [1] [2] [3] The maintenance of fluid homeostasis in each of these compartments is dependent on the excretion of fluids and the concentration of electrolytes that generate osmotic pressure. This process of passive regulation of osmotic pressure is known as osmoregulation. [1] [2] [3] This article will provide an overview of osmoregulation and excretion, focusing on a discussion of the renal system involved in maintaining this intimate balance between fluid retention and excretion.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.002

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 head0.003
GPT teacher head0.206
Teacher spread0.203 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations5
Published2019
Admission routes1
Has abstractyes

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