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Record W3178076732 · doi:10.1136/thoraxjnl-2021-217428

ARDS subphenotypes: searching for Rorschach among the roentgenograms?

2021· editorial· en· W3178076732 on OpenAlexaff
Andrew Conway Morris, Katharina Köhler, Manu Shankar‐Hari

Bibliographic record

VenueThorax · 2021
Typeeditorial
Languageen
FieldMedicine
TopicRespiratory Support and Mechanisms
Canadian institutionsSt. Thomas Hospital
FundersResearch Trainees Coordinating CentreMedical Research CouncilNational Institute for Health and Care Research
KeywordsARDSMedicineDiffuse alveolar damageAcute pancreatitisIntensive care medicinePneumonitisAcute respiratory distressLungInternal medicine

Abstract

fetched live from OpenAlex

In 1967, Ashbaugh and colleagues first described acute respiratory distress syndrome (ARDS) - an acute illness, characterised by tachypnoea, hypoxaemia and loss of lung compliance occurring after a variety of pulmonary and non-pulmonary insults (including trauma, acute pancreatitis, viral pneumonitis)1. This concept is retained as the ARDS illness model within the current consensus definitions, with acute defined as within 7 days of insult, and hypoxaemia categorised using partial pressure of oxygen/fraction of inspired oxygen concentration (PaO2/FiO2 ratio) into mild (<40Kpa) , moderate (13.3-26.6Kpa) and severe (<=13.3Kpa) ARDS on a positive end expiratory pressure of >5 cm water2.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.017
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.022
GPT teacher head0.336
Teacher spread0.314 · 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.

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

Citations2
Published2021
Admission routes1
Has abstractyes

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