MétaCan
Menu
← Back to cohort
Record W2165901682 · doi:10.1109/iembs.2005.1615816

Modelling the Respiratory Chemoreflex Control of Acid-Base Balance

2005· article· en· W2165901682 on OpenAlexaff
James Duffin

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience of respiration and sleep
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsChemoreceptorPeripheral chemoreceptorsCarbon dioxideAcid–base homeostasisRespiratory systemControl of respirationOxygenPartial pressureVentilation (architecture)Stimulus (psychology)RespirationChemistryAnesthesiaInternal medicineBiologyMedicineBiochemistryAnatomyThermodynamicsPsychologyReceptorPhysics

Abstract

fetched live from OpenAlex

A mathematical model is presented describing the respiratory chemoreflex relations between the partial pressures of carbon dioxide and oxygen at the central and peripheral chemoreceptors and the resulting pulmonary ventilation. These chemoreflex relations in terms of carbon dioxide partial pressures are transformed to relations in terms of hydrogen ion concentrations in brain tissue and arterial blood using the Stewart approach to acid-base balance. In this way, the chemoreflex relations can be expressed in terms of the actual stimulus to the respiratory chemoreceptors.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.061
GPT teacher head0.290
Teacher spread0.229 · 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 designSimulation or modeling
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

Citations3
Published2005
Admission routes1
Has abstractyes

Explore more

Same topicNeuroscience of respiration and sleep→French-language works237,207→