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Record W2995825160 · doi:10.15585/mmwr.mm685152e2

Update: Interim Guidance for Health Care Professionals Evaluating and Caring for Patients with Suspected E-cigarette, or Vaping, Product Use–Associated Lung Injury and for Reducing the Risk for Rehospitalization and Death Following Hospital Discharge — United States, December 2019

2019· article· en· W2995825160 on OpenAlexaff
Mary E. Evans, Evelyn Twentyman, Eleanor S. Click, Alyson B. Goodman, David N. Weissman, Emily Kiernan, Susan Hocevar, Christina A. Mikosz, Melissa L. Danielson, Kayla N. Anderson, Sascha Ellington, Matthew Lozier, Lori A. Pollack, Dale A. Rose, Vikram Krishnasamy, Christopher M. Jones, Peter A. Briss, Brian A. King, Jennifer L. Wiltz, Maleeka Glover, Paul Melstrom, Katherine R. Shealy, Stacy L. Thorne, Scott K. Aberegg, Carolyn S. Calfee, Sean J. Callahan, Annette Esper, Anne M. Griffiths, Dixie Harris, Don Hayes, Devika Rao, Lincoln Smith

Bibliographic record

VenueMMWR Morbidity and Mortality Weekly Report · 2019
Typearticle
Languageen
FieldMedicine
TopicRespiratory Support and Mechanisms
Canadian institutionsResponse Biomedical (Canada)
Fundersnot available
KeywordsMedicineInterimIntensive care medicineCigarette smokingHealth careProduct (mathematics)Emergency medicineMedical emergencyInternal medicine

Abstract

fetched live from OpenAlex

CDC releases updated interim guidance for health care providers evaluating and caring for patients with suspected e-cigarette, or vaping, product use associated lung injury.

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)0.024
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: Other · Consensus signal: none
Teacher disagreement score0.063
Threshold uncertainty score0.149

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.024
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0030.002
Science and technology studies0.0010.001
Scholarly communication0.0030.003
Open science0.0040.002
Research integrity0.0110.007
Insufficient payload (model declined to judge)0.0450.037

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 head0.035
GPT teacher head0.364
Teacher spread0.329 · 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
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

Citations52
Published2019
Admission routes1
Has abstractno

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