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Record W4402903281 · doi:10.1007/s00261-024-04580-6

Is concurrent LR-5 associated with a higher rate of hepatocellular carcinoma in LR-3 or LR-4 observations? An individual participant data meta-analysis

2024· review· en· W4402903281 on OpenAlexaff
Nicole Abedrabbo, Emily Lerner, Eric Lam, Diana Kadi, Haben Dawit, Christian B. van der Pol, Jean‐Paul Salameh, Haresh Naringrekar, Robert G. Adamo, Mostafa Alabousi, Brooke Levis, An Tang, Ayman S. Alhasan, Ashwini Arvind, Amit G. Singal, Brian C. Allen, Krzysztof Bartnik, Joanna Podgórska, Alessandro Furlan, Roberto Cannella, Marco Dioguardi Burgio, Milena Cerny, Sang Hyun Choi, Christopher Clarke, Jing Xiang, Andrea S. Kierans, Maxime Ronot, Grzegorz Rosiak, Hanyu Jiang, Ji Soo Song, Caecilia C Reiner, Ijin Joo, Heejin Kwon, Wentao Wang, Shengxiang Rao, Federico Díaz Telli, Federico Piñero, Nieun Seo, Hyo-Jin Kang, Jin Wang, Ji Hye Min, Andreu F. Costa, Matthew D. F. McInnes, Mustafa R. Bashir

Bibliographic record

VenueAbdominal Radiology · 2024
Typereview
Languageen
FieldMedicine
TopicHepatocellular Carcinoma Treatment and Prognosis
Canadian institutionsQueen Elizabeth II Health Sciences CentreUniversité de MontréalJewish General HospitalUniversity of OttawaUniversity of TorontoHamilton Health SciencesJuravinski HospitalMcMaster UniversityOttawa Hospital
FundersNational Cancer InstituteNational Institutes of Health
KeywordsHepatocellular carcinomaHepatologyMedicineMeta-analysisInternal medicineCarcinomaOncologyGastroenterology

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.410
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0090.002
Bibliometrics0.0010.003
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.736
GPT teacher head0.430
Teacher spread0.307 · 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.

Study designMeta-analysis
Domainnot available
GenreReview

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
Published2024
Admission routes1
Has abstractno

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