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Record W3187900736 · doi:10.1177/20584601211026808

Abdominal CT manifestations in fish bone foreign body injuries: What the radiologist needs to know

2021· article· en· W3187900736 on OpenAlexaff
Devendra Kumar, Anirudh Nair, Pankaj Nepal, Tareq Z Alotaibi, Mahmoud Al-Heidous, D. Blair Macdonald

Bibliographic record

VenueActa Radiologica Open · 2021
Typearticle
Languageen
FieldMedicine
TopicForeign Body Medical Cases
Canadian institutionsOttawa HospitalUniversity of Ottawa
FundersQatar National Library
KeywordsFish boneMedicineForeign bodyRadiologyReferralEmergency departmentFish <Actinopterygii>SurgeryGeneral surgery

Abstract

fetched live from OpenAlex

Fish bone is one of the most common foreign body ingestions encountered in the emergency department. Fish bone perforations occur most commonly in segments with acute angulation like the ileocecal region and rectosigmoid junction and can present acutely with obstruction and free air or with chronic complications like abscess and sepsis. Radiologists should be familiar with the high-risk clinical scenarios, the CT appearance of radiopaque fishbones, and the spectrum of imaging findings related to gastrointestinal (GI) tract so as to direct management and timely referral to GI endoscopists and surgeons.

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)0.009
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: none
Teacher disagreement score0.010
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.009
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0030.002
Science and technology studies0.0010.002
Scholarly communication0.0020.009
Open science0.0020.001
Research integrity0.0100.007
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 head0.033
GPT teacher head0.323
Teacher spread0.289 · 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

Citations17
Published2021
Admission routes1
Has abstractyes

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