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Record W2029585361 · doi:10.14740/jcs247w

Recurrent Ascites: Think Outside the Box

2014· article· en· W2029585361 on OpenAlexvenueno aff
Abdul Mahmad, Waqas Jehangir, Jay Littlefield, Maria J. Hoayeck, Pankaj Shirolawala, Shuvendu Sen, Abdalla Yousif

Bibliographic record

VenueJournal of Current Surgery · 2014
Typearticle
Languageen
FieldMedicine
TopicLiver Disease and Transplantation
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAscitesSurgeryExploratory laparotomyComplicationAbdomenAcute abdomenFurosemideLaparotomyParacentesisInternal medicine

Abstract

fetched live from OpenAlex

Ascites is more common in cirrhotic patients. Bladder or ureteral injury is possible in surgeries involving lower abdomen or pelvic area which can mimic ascites. Intraoperative bladder puncture or ureteral nicking during abdominal surgeries is a rare but potentially serious complication. It is important to recognize these complications as early as possible to minimize damage and prevent further treatment complications. We report a case of recurrent ascites in a 65-year-old female who underwent exploratory laparotomy for a ruptured diverticular abscess that paradoxically increased with furosemide treatment. J Curr Surg. 2014;4(4):121-123 doi: http://dx.doi.org/10.14740/jcs247w

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.304
Threshold uncertainty score0.224

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.040
GPT teacher head0.302
Teacher spread0.261 · 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 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
Published2014
Admission routes1
Has abstractyes

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