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Record W3056661053 · doi:10.1183/20734735.0337-2019

Respiratory failure in a 28-year-old male

2020· article· en· W3056661053 on OpenAlexaff
Danny Wadden, Alvan Buckley, Chandrani Ghosh, Gokul Vidyasankar

Bibliographic record

VenueBreathe · 2020
Typearticle
Languageen
FieldMedicine
TopicOccupational and environmental lung diseases
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsMedicineRespiratory failureWheezeRespiratory systemChest radiographIntensive care unitPresentation (obstetrics)IntubationSputumPediatricsTuberculosisSurgeryIntensive care medicineInternal medicineRadiography

Abstract

fetched live from OpenAlex

A 28-year-old male was admitted to the intensive care unit (ICU) for hypoxic respiratory failure requiring intubation and ventilation. He had been dyspnoeic for months leading up to admission with acute worsening 2 weeks prior and reported a 6-kg weight loss over the same time. Occasional dark sputum was reported without haemoptysis, wheeze, chest pain, fever or infectious symptoms. In regard to social history, he smoked 10 cigarettes per day at the time of presentation (<10-pack-year history) and occasionally used marijuana. He worked as a soapstone carver daily and did not use any respiratory protection. In addition, the patient had exposure to a tuberculosis contact ∼1 year prior to presentation. An interesting case of respiratory failure secondary to occupational exposure in a 28-year-old male <http://bit.ly/2SzR6dK>

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.051
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.019
GPT teacher head0.244
Teacher spread0.225 · 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 designObservational
Domainnot available
GenreEmpirical

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
Published2020
Admission routes1
Has abstractyes

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