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Record W7161251943 · doi:10.5281/zenodo.20215071

Figure 1. Radiological findings. A in Alveolar echinococcosis in solid organ transplant recipients: a case series from two national cohorts

2023· other· W7161251943 on OpenAlexaff
Bastian Marquis, Florent Demonmerot, Carine Richou, Gérard Thiéfin, Laurence Millon, Martine Wallon, Dominique Angele Vuitton, Anne Grall-Jézéquel, Frédéric Grenouillet, Olivier Épaulard, Philippe Gervais, Oriol Manuel, Solange Bresson-Hadni, Swiss Transplant Cohort Study, FrancEchino Network

Bibliographic record

VenueOpen MIND · 2023
Typeother
Language
Field
Topic
Canadian institutionsInstitut universitaire de cardiologie et de pneumologie de Québec
Fundersnot available
KeywordsRadiological weaponLesionMagnetic resonance imagingEchinococcosisRadiological imaging

Abstract

fetched live from OpenAlex

Figure 1. Radiological findings. A) and B) MRI of patient #5 A) T1-weighted MRI of patient #5. White arrow: lesion in the head of the pancreas. This lesion was mistakenly interpreted as pancreatic cancer. B) T2-weighted, the white arrows point at the typical microcysts in T2-hypersignal. C) T1-weighted MRI of patient #4, showing a large well-delimited lesion tumor-like lesion, with invasion of the right portal branch D) PET-CT of patient #4, showing intense metabolic activity at the periphery of the lesion.

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)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.993
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0070.002

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 head0.049
GPT teacher head0.334
Teacher spread0.286 · 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.

Study designNot applicable
Domainnot available
GenreOther

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
Published2023
Admission routes1
Has abstractyes

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