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Record W2750550969 · doi:10.1183/13993003.01144-2017

<i>D</i><sub>LCO</sub>: adjust for lung volume, standardised reporting and interpretation

2017· letter· en· W2750550969 on OpenAlexaff
Brian L. Graham, Vito Brusasco, Felip Burgos, Brendan Cooper, Robert L. Jensen, Adrian Kendrick, Neil R. MacIntyre, Bruce Thompson, Jack Wanger

Bibliographic record

VenueEuropean Respiratory Journal · 2017
Typeletter
Languageen
FieldMedicine
TopicChronic Obstructive Pulmonary Disease (COPD) Research
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsInterpretation (philosophy)Lung volumesVolume (thermodynamics)Diffusing capacityValue (mathematics)LungCarbon monoxideNuclear medicineMedicineMathematicsStatisticsEconometricsComputer scienceLung functionThermodynamicsPhysicsInternal medicineChemistry

Abstract

fetched live from OpenAlex

D.C. Johnson proposed that an adjustment of the predicted value for the diffusing capacity of the lung for carbon monoxide ( D LCO) based on the measured and predicted lung volume be included in the report of D LCO test results. An interpretation algorithm is also proposed. A correction of the predicted value for D LCO based on the measured lung volume is not recommended

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)0.032
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Reporting · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.995
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.032
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0220.023
Insufficient payload (model declined to judge)0.0050.008

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 head0.036
GPT teacher head0.323
Teacher spread0.287 · 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.

Study designNot applicable
DomainReporting
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

Citations13
Published2017
Admission routes1
Has abstractyes

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