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Record W4205355444 · doi:10.1249/mss.0000000000001851

Response

2019· letter· en· W4205355444 on OpenAlexaff
Daniel A. Keir, Silvia Pogliaghi, Juan M. Murias

Bibliographic record

VenueMedicine & Science in Sports & Exercise · 2019
Typeletter
Languageen
FieldMedicine
TopicCardiovascular and exercise physiology
Canadian institutionsUniversity of CalgaryUniversity Health Network
Fundersnot available
KeywordsRespiratory compensationDeoxygenationChemistryInternal medicineMathematicsBiologyMedicineBiochemistryAnaerobic exercise

Abstract

fetched live from OpenAlex

Dear Editor-in-Chief, From our perspective, the respiratory compensation point (RCP) and near-infrared spectroscopy-derived muscle deoxygenation breakpoint ([HHb]BP) of ramp-incremental exercise represent two physiological manifestations that arise once a specific and equivalent metabolic rate is surpassed; both may be used interchangeably to identify this critical intensity (1–4). Boone and Bourgois (5) substantially agree that both RCP and [HHb]BP are triggered by “one single stimulus.” However, they also contend that compared with RCP, the [HHb]BP occurs at a higher oxygen uptake (V˙O2) and ramp-incremental power output (PO) (6,7). Their letter proposes that our practice of applying a time correction to determine the V˙O2 at [HHb]BP but not RCP may lead to an artifactual underestimation of the V˙O2 at [HHb]BP and a spurious RCP-[HHb]BP coincidence. The following is a clarification of our method and its rationale. Like Boone and Bourgois, we identify [HHb]BP from the [HHb] versus time relationship. Next, we apply a two-step process to determine first the V˙O2 at [HHb]BP and then its corresponding PO: Step 1: identify the V˙O2 at [HHb]BP. We left-shift V˙O2 relative to time by the mean response time (MRT) of V˙O2 to account for the muscle-to-mouth time delay and V˙O2 kinetics. Because there is no [HHb]–PO delay, the identification of the PO corresponding to the time at [HHb]BP (at this point) would not require a correction. Step 2: estimate the constant PO that would be expected to elicit the V˙O2 at [HHb]BP. We left-shift V˙O2 relative to ramp PO by the PO equivalent of MRT (ramp rate [W·s−1] × MRT [s]) and then identify the PO corresponding to the V˙O2 at [HHb]BP. Conversely, the same method could be applied to identify the V˙O2 corresponding to the PO identified at [HHb]BP. For the determination of the V˙O2 at RCP (i.e., step 1), no shifting is required. The RCP is identified by plotting ventilation and end-tidal CO2 tension against V˙O2. As such, V˙O2 need not be shifted because metabolic-induced ventilatory changes (response) occur at the same time or shortly after the muscle V˙O2 that initiated them (stimulus) is expressed systemically and at the mouth. However, when estimating the constant PO (i.e., step 2) expected to elicit the V˙O2 at either [HHb]BP or RCP, data shifting must be applied. With step 2, we acknowledge that correction based on MRT only ignores the V˙O2 slow component and therefore will overestimate the PO at a given V˙O2 or underestimate the V˙O2 at a given PO (8,9). However, these errors are nullified if [HHb]BP and RCP are measured and compared in terms of V˙O2 rather than a translated PO equivalent (8). Caen et al. (7) are the first to describe a difference in PO at [HHb]BP versus RCP (~20 W). These findings are unprecedented (1–4) and even contradict previous work from the same group (6) reporting a strong correlation (r = 0.96) and no difference (0.8% ± 1.3% V˙O2peak; equivalent to <4 W) between [HHb]BP and RCP. Curiously, the 20-W difference (7) is approximately what one would expect if MRT-corrected POs (i.e., RCP) are compared with uncorrected ones (i.e., [HHb]BP) (e.g., 0.5 W·s−1 ramp × 40 s MRT). Available evidence indicates that [HHb]BP and RCP are equivalent.

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)0.001
metaresearch head score (Gemma)0.018
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: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.154
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.018
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0020.003
Open science0.0020.002
Research integrity0.0080.010
Insufficient payload (model declined to judge)0.1540.094

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 head0.016
GPT teacher head0.281
Teacher spread0.265 · 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
GenreEditorial

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

Citations4
Published2019
Admission routes1
Has abstractyes

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