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Effects of Gas Exchange on Acid‐Base Balance

2012· article· en· W4409118630 on OpenAlexaff
Michael I. Lindinger, George J. F. Heigenhauser

Bibliographic record

VenueComprehensive physiology · 2012
Typearticle
Languageen
FieldMedicine
TopicRenal function and acid-base balance
Canadian institutionsMcMaster UniversityUniversity of Guelph
Fundersnot available
KeywordsAcid–base homeostasisChemistryBalance (ability)Base (topology)Monetary economicsEconomicsBiochemistryBiologyMathematicsNeuroscience

Abstract

fetched live from OpenAlex

Abstract This paper describes the interactions between ventilation and acid‐base balance under a variety of conditions including rest, exercise, altitude, pregnancy, and various muscle, respiratory, cardiac, and renal pathologies. We introduce the physicochemical approach to assessing acid‐base status and demonstrate how this approach can be used to quantify the origins of acid‐base disorders using examples from the literature. The relationships between chemoreceptor and metaboreceptor control of ventilation and acid‐base balance summarized here for adults, youth, and in various pathological conditions. There is a dynamic interplay between disturbances in acid‐base balance, that is, exercise, that affect ventilation as well as imposed or pathological disturbances of ventilation that affect acid‐base balance. Interactions between ventilation and acid‐base balance are highlighted for moderate‐ to high‐intensity exercise, altitude, induced acidosis and alkalosis, pregnancy, obesity, and some pathological conditions. In many situations, complete acid‐base data are lacking, indicating a need for further research aimed at elucidating mechanistic bases for relationships between alterations in acid‐base state and the ventilatory responses. © 2012 American Physiological Society. Compr Physiol 2:2203‐2254, 2012.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.258
Threshold uncertainty score0.509

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 studies0.0000.000
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 head0.023
GPT teacher head0.277
Teacher spread0.254 · 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 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

Citations5
Published2012
Admission routes1
Has abstractyes

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