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Record W2517460900 · doi:10.1136/jclinpath-2016-203866

Gene of the month: <i>BAP1</i>

2016· review· en· W2517460900 on OpenAlexaff
Ami Wang, Anjali Papneja, Martin Hyrcza, Ayman Al‐Habeeb, Danny Ghazarian

Bibliographic record

VenueJournal of Clinical Pathology · 2016
Typereview
Languageen
FieldMedicine
TopicOcular Oncology and Treatments
Canadian institutionsUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsBAP1Cancer researchDeubiquitinating enzymeCancer syndromeGermline mutationMesotheliomaBiologyMelanomaGeneTumor suppressor geneRenal cell carcinomaCancerMutationMedicineCarcinogenesisPathologyUbiquitinGenetics

Abstract

fetched live from OpenAlex

The BAP1 gene (BRCA1-associated protein 1) is a tumour suppressor gene that encodes a deubiquitinating enzyme (DUB), regulating key cellular pathways, including cell cycle, cellular differentiation, transcription and DNA damage response. Germline BAP1 mutations cause a novel cancer syndrome characterised by early onset of multiple atypical Spitz tumours and increased risk of uveal and cutaneous melanoma, mesothelioma, renal cell carcinoma and various other malignancies. Recognising the clinicopathological features of specific BAP1-deficient tumours is crucial for early screening/tumour detection, with significant impact on patient outcome.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.015
Threshold uncertainty score0.052

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0150.009

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 head0.151
GPT teacher head0.495
Teacher spread0.344 · 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 designNot applicable
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

Citations95
Published2016
Admission routes1
Has abstractyes

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