MétaCan
Menu
← Back to cohort
Record W2833640040 · doi:10.1002/9781119129875.ch36

Advanced (stage II and III) and recurrent seminoma

2018· other· en· W2833640040 on OpenAlexaff
Peter C. Black, Christian Kollmannsberger

Bibliographic record

Venuenot available
Typeother
Languageen
FieldMedicine
TopicTesticular diseases and treatments
Canadian institutionsBC Cancer AgencyUniversity of British Columbia
Fundersnot available
KeywordsSeminomaMedicineChemotherapyRadiation therapyStage (stratigraphy)Positron emission tomographyOncologyRadiologyInternal medicine

Abstract

fetched live from OpenAlex

Since the advent of cisplatin-based chemotherapy, advanced seminoma has become a highly curable disease entity. This chapter addresses a series of focused clinical questions of advanced and recurrent seminoma that are addressed in a systematic fashion, including a comprehensive literature search, a rating of the quality of evidence, and an assessment of ratio of benefit and harm of a given treatment option. The clinical questions are: In patients with clinical stage IIA/B seminoma, how do radiation and chemotherapy compare in terms of oncological efficacy and adverse effects? In patients with seminoma and a postchemotherapy residual mass, how does positron emission tomography (PET) compare with computed tomography (CT) in predicting viable cancer in the residual mass? and In patients with advanced seminoma who fail first-line chemotherapy, how do the oncological outcomes in high-dose chemotherapy with stem-cell transplant compare with standard salvage chemotherapy?

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)0.001
metaresearch head score (Gemma)0.007
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: Other · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.001

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 head0.009
GPT teacher head0.278
Teacher spread0.269 · 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
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
Published2018
Admission routes1
Has abstractyes

Explore more

Same topicTesticular diseases and treatments→French-language works237,207→