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Commentaries on Viewpoint: V<scp>o</scp><sub>2peak</sub>is an acceptable estimate of cardiorespiratory fitness but not V<scp>o</scp><sub>2max</sub>

2018· letter· en· W2902029007 on OpenAlexaff
Paulo Henrique Silva Marques de Azevedo, Dharini M. Bhammar, Tony G. Babb, T. Scott Bowen, Klaus K. Witte, Harry B. Rossiter, Julien V. Brugniaux, Ben D. Perry, Ricardo Dantas de Lucas, Tiago Turnes, Jeann L. Sabino‐Carvalho

Bibliographic record

VenueJournal of Applied Physiology · 2018
Typeletter
Languageen
FieldMedicine
TopicCardiovascular and exercise physiology
Canadian institutionsUniversity of CalgaryWestern University
FundersAgence Nationale de la Recherche
KeywordsCardiorespiratory fitnessVO2 maxChemistryAnimal sciencePhysicsBiologyEndocrinologyPhysiologyHeart rate

Abstract

fetched live from OpenAlex

As discussed in the current Viewpoint (2), there have been a number of methodologically different applications of the verification phase for maximal oxygen uptake (V̇o2max) over the past decade, incorporating seemingly arbitrary determination criteria. This is not to say that through observation and experiment, a more exact validation cannot be found. But rather, the immediate focus should be on developing updated protocols for accurately identifying V̇o2max for various populations...

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)0.005
metaresearch head score (Gemma)0.031
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: Commentary · Consensus signal: Commentary
Teacher disagreement score0.058
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.031
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0040.004
Scholarly communication0.0020.004
Open science0.0030.002
Research integrity0.0580.058
Insufficient payload (model declined to judge)0.0090.013

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 head0.020
GPT teacher head0.262
Teacher spread0.241 · 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
GenreCommentary

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

Citations15
Published2018
Admission routes1
Has abstractyes

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