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Record W2066088150 · doi:10.1159/000194669

Cerebral Blood Flow, Oxygen, Carbon Dioxide Tensions, and Blood Bicarbonate in Controlling Drive and Timing in Patients with Chronic Obstructive Pulmonary Diseases

2009· article· en· W2066088150 on OpenAlexaff
D. Patakas, Brian J. Sproule, D.D. Jones, L. Phillipow, G. Ziutas

Bibliographic record

VenueRespiration · 2009
Typearticle
Languageen
FieldMedicine
TopicRespiratory Support and Mechanisms
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineCarbon dioxideBicarbonateCerebral blood flowOxygenAnesthesiaBlood flowBlood gas analysisHypercapniaRespiratory systemIntensive care medicineCardiologyInternal medicineAcidosis

Abstract

fetched live from OpenAlex

In patients with chronic obstructive pulmonary disease, respiratory drive as estimated from occlusion pressures (PO.1 and PO.1/PCO<sub>2</sub>, cm H<sub>2</sub>O/mm Hg) and respiratory timing (T<sub>1</sub>, T<sub>1</sub>/T<sub>τ</sub><sub>oτ</sub>) were predicted accurately by multiple regression analysis from the respiratory parameters PO<sub>2</sub>, PCO<sub>2</sub>, and blood HCO<sub>3</sub> in conjunction with estimates of cerebral blood now. We used four linear models to obtain essentially the same multiple correlation coefficient, indicating that these independent variables are all important factors in controlling both the drive and timing of respiration

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 score0.035
Threshold uncertainty score0.619

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 head0.008
GPT teacher head0.218
Teacher spread0.209 · 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

Citations2
Published2009
Admission routes1
Has abstractyes

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