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Record W2114894851 · doi:10.1136/bmj.321.7276.1577

Music to be born to, music to die to

2000· article· en· W2114894851 on OpenAlexaff
John Anderson, Michael J. Baum, Lisa Bero, Iain Chalmers, Simon Chapman, I. J Deary, S Ebrahim, M. Evans, Michael Farrell, David Greaves, Irene J Higginson, Julia Hippisley‐Cox, Benjamin C. James, Harold C. McKenzie, Ann C. Macaulay, Michael W. Rabow, Rosalind L. Smyth, Gregory Stores, Lewis Wolpert

Bibliographic record

VenueBMJ · 2000
Typearticle
Languageen
FieldMedicine
TopicViral gastroenteritis research and epidemiology
Canadian institutionsMcGill University
Fundersnot available
KeywordsComputer scienceWorld Wide WebData science

Abstract

fetched live from OpenAlex

An outbreak of hepatitis-associated-antigen-(HB Ag)-positive hepatitis in a hospital unit for the care of male patients with pulmonary tuberculosis is described. Sixty-four patients were studied of whom 37 were HB Ag positive. Hepatitis developed in at least 20 and was icteric in 11. The illness was mild, without fatality due to hepatitis and persistent jaundice did not occur. A carrier state developed in 15 of 24 HB Ag-positive patients followed up for more than six months and was unrelated to the presence or absence of initial hepatitis. Spread of HB Ag to domestic and medical staff occurred and following the discharge of the patients, household contacts became positive. Five, all wives of patients, developed jaundice. Faeces and sputum were HB Ag negative in seropositive cases. The origin of the outbreak remains undetected. The probability of non-parenteral transmission of HB Ag in this outbreak is discussed. Closure of the unit, isolation of HB Ag-positive cases with separate toilet and kitchen facilities, and discharge of patients when their respiratory condition allowed, resulted in prevention of further spread and eventually all patients were discharged from the unit.

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)0.000
metaresearch head score (Gemma)0.002
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: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0120.003

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 head0.077
GPT teacher head0.373
Teacher spread0.296 · 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
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

Citations3
Published2000
Admission routes1
Has abstractyes

Explore more

Same venueBMJ→Same topicViral gastroenteritis research and epidemiology→French-language works237,207→