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Record W2097256734 · doi:10.4021//jmc.v1i3.74

Three Cases With a Lung Abscess and Bronchial Inflammatory Polyps

2010· article· en· W2097256734 on OpenAlexvenueno aff
Yoshiyuki Kurose, Norio Kodaka, Kumiko Kashiwa, Yuuki Kamata, Haruhi Kouno, Chihiro Nakano, Kayo Sugawa, Tetsuro Sawata, Atsuo Miura, Toru Yamagishi, Nobuyuki Hatanaka, Hirotaka Kamemura, Asako Kitahara, Yuki Yokouchi, Ken Sanno

Bibliographic record

VenueJournal of Medical Cases · 2010
Typearticle
Languageen
FieldMedicine
TopicTracheal and airway disorders
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAbscessLung abscessLungEtiologyBronchoscopyInflammatory responsePathologyRadiologyInternal medicineInflammationSurgery

Abstract

fetched live from OpenAlex

Three patients who had a lung abscess and bronchial inflammatory polyps are presented. The patients, all males, were 45, 65, and 74 years old. Imaging studies showed a lung abscess, and bronchoscopy revealed protruding lesions in the involved bronchi. The histological findings were inflammatory polyps. In all cases, the inflammatory polyps regressed with systemic antibiotic treatment, and the lung abscess improved. These cases were interesting in terms of the etiology of bronchial inflammatory polyps. doi:10.4021/jmc74w

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)0.001
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0030.003
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0030.002
Science and technology studies0.0050.003
Scholarly communication0.0020.002
Open science0.0010.004
Research integrity0.0060.004
Insufficient payload (model declined to judge)0.0040.002

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 head0.012
GPT teacher head0.279
Teacher spread0.267 · 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 designCase report
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

Citations1
Published2010
Admission routes1
Has abstractyes

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