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Record W4282933772 · doi:10.1001/jama.2022.7596

Collaborator Name Misspelled

2022· erratum· en· W4282933772 on OpenAlexfundno aff

Bibliographic record

VenueJAMA · 2022
Typeerratum
Languageen
FieldMedicine
TopicCancer Immunotherapy and Biomarkers
Canadian institutionsnot available
FundersMedical Research CouncilSwedish Orphan BiovitrumQueen's UniversityQueen's University BelfastIntensive Care SocietyNational Institute for Health and Care ResearchWellcome TrustGlaxoSmithKlineEli Lilly and Company
KeywordsMedicineCoronavirus disease 2019 (COVID-19)Correct nameSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)2019-20 coronavirus outbreakVirologyInternal medicineInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

and other sequalae associated with invasive mechanical ventilation, avoidance of tracheal intubation is itself an important outcome to patients, clinicians, and health systems. 3,4 The pragmatic nature of the trial and the context in which it was delivered precluded collection of granular physiological data in patients who did not undergo intubation.We agree with the final point made by Yarnell and Sklar that the optimum time point for tracheal intubation remains unclear. 5,6It was in part for this reason that we decided not to protocolize decisions relating to the timing of tracheal intubation.The decision to undertake tracheal intubation for most patients encompasses a range of factors including current physiology, subjective respiratory assessment (eg, work of breathing), trajectory of illness, and patient wishes, which are difficult to operationalize in the trial setting.

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)0.003
metaresearch head score (Gemma)0.034
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.351
Threshold uncertainty score0.926

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.034
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0030.001
Scholarly communication0.0040.002
Open science0.0020.002
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.3510.221

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 head0.013
GPT teacher head0.271
Teacher spread0.259 · 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
Domainnot available
GenreOther

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

Citations0
Published2022
Admission routes1
Has abstractyes

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