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Record W2065204330 · doi:10.1016/j.epsc.2015.03.014

A case of pancreatitis, panniculitis and polyarthritis syndrome: Elucidating the pathophysiologic mechanisms of a rare condition

2015· article· en· W2065204330 on OpenAlexaff
Inés Loverdos, Marc C. Swan, Shant Shekherdimian, Abdulrahman Al-Rasheed, Rayfel Schneider, Joel Fish, Bo‐Yee Ngan, Khosrow Adeli, Mark E. Lowe, Vijay Singh, Wednesday Marie A. Sevilla, Jacob C. Langer, Tanja Gonska

Bibliographic record

VenueJournal of Pediatric Surgery Case Reports · 2015
Typearticle
Languageen
FieldMedicine
TopicDermatological and COVID-19 studies
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
FundersNational Institute of Diabetes and Digestive and Kidney Diseases
KeywordsMedicinePancreatitisPathophysiologyPolyarthritisPanniculitisLipolysisPathologyAcute pancreatitisInflammationArthritisInternal medicineGastroenterologyAdipose tissue

Abstract

fetched live from OpenAlex

Pancreatitis-Panniculitis-Polyarthritis (PPP) syndrome is rare and its physiopathology unclear. A 6-year old boy suffered of traumatic pancreatitis complicated by PPP syndrome. Extensive investigations demonstrated high levels of pancreatic lipase and fatty acids in the affected peripheral tissues. These findings support the sequence of peripheral lipolysis and fatty acid accumulation inducing tissue inflammation.

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: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score0.367

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.035
GPT teacher head0.273
Teacher spread0.239 · 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 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

Citations26
Published2015
Admission routes1
Has abstractyes

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