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Record W2011938155 · doi:10.1503/cjs.032713

Ancillary tests to improve the accuracy of laparoscopy in the diagnosis of tuberculous peritonitis

2014· letter· en· W2011938155 on OpenAlexvenueno aff
Mumtazdin Wani, Shabir Ahmad Mir, Jahangeer Ahmad Bhat, Hakim Adil Moheen

Bibliographic record

VenueCanadian Journal of Surgery · 2014
Typeletter
Languageen
FieldMedicine
TopicDiagnosis and treatment of tuberculosis
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineTuberculous peritonitisLaparoscopyTuberculosisPeritonitisExtrapulmonary tuberculosisGeneral surgerySurgeryMycobacterium tuberculosisPathology

Abstract

fetched live from OpenAlex

It has been suggested in your journal that laparoscopy and biopsy should be deployed to diagnose tuberculous peritonitis.[1][1] In 1993, the World Health Organization took an unprecedented step and declared tuberculosis (TB) a global emergency.[2][2] The prevalence of extrapulmonary TB is rising,

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)0.002
Version: codex-gemma-dda1882f352aValidation 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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.224
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.043
GPT teacher head0.280
Teacher spread0.237 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations6
Published2014
Admission routes1
Has abstractyes

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