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Record W4214482914 · doi:10.1177/03009858221082207

Reporting guidelines for manuscripts on tumor prognosis

2022· editorial· en· W4214482914 on OpenAlexaff
F. Y. Schulman, P. Roccabianca, Giancarlo Avallone, Christof Bertram, Mark Chalkley, James Chambers, Taryn Donovan, Robert A. Foster, Donald J. Meuten, Ilaria Porcellato, Simon L. Priestnall, Roberta Rasotto, Kazuyuki Uchida, Joshua D. Webster, Geoffrey A. Wood, Jeff Caswell

Bibliographic record

VenueVeterinary Pathology · 2022
Typeeditorial
Languageen
FieldDecision Sciences
TopicMeta-analysis and systematic reviews
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsObservational studyMedicinePathologyInternal medicineGeneral surgeryOncology

Abstract

fetched live from OpenAlex

Keywords neoplasia, observational study design, oncology, pathology, prognostic markers, reporting guidelines, scientific publishing, surgical pathology, veterinary

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)0.335
metaresearch head score (Gemma)0.721
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: Reporting · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.665
Threshold uncertainty score0.820

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.3350.721
Meta-epidemiology (narrow)0.0070.008
Meta-epidemiology (broad)0.0170.015
Bibliometrics0.0270.019
Science and technology studies0.0070.012
Scholarly communication0.0280.011
Open science0.0170.010
Research integrity0.0310.031
Insufficient payload (model declined to judge)0.0390.033

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 head0.895
GPT teacher head0.604
Teacher spread0.291 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
DomainReporting
GenreEditorial

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

Citations1
Published2022
Admission routes1
Has abstractyes

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