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Record W4224278850 · doi:10.1007/s11654-022-00370-y

Chirurgische Therapie des Ösophaguskarzinoms – neue Technologien, moderne Konzepte

2022· article· de· W4224278850 on OpenAlexfundno aff
Thomas Schmidt, Benjamin Babic, Christiane J. Bruns, Hans F. Fuchs

Bibliographic record

Venuebest practice onkologie · 2022
Typearticle
Languagede
FieldMedicine
TopicEsophageal Cancer Research and Treatment
Canadian institutionsnot available
FundersNational Cancer InstituteYonsei University College of MedicineSchool of Medicine, Indiana UniversityUniversity of North Carolina at Chapel HillUniversity of Texas MD Anderson Cancer CenterNational Institutes of HealthKeimyung UniversityUniversity of DundeeChonnam National UniversityHospital de Câncer de BarretosBroad InstitutePusan National UniversityUniversity of PittsburghUniversity of WashingtonMemorial Sloan-Kettering Cancer CenterJohns Hopkins UniversityPeter MacCallum Cancer CentreVan Andel Research InstituteWashington University in St. LouisSidney Kimmel Comprehensive Cancer CenterUniversity of RochesterYonsei UniversityKU LeuvenBrown UniversityCase Western Reserve UniversityEmory UniversityUniversity of Southern CaliforniaBC Cancer AgencyVanderbilt University
KeywordsMedicineGynecology

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 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)0.012
metaresearch head score (Gemma)0.012
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 score0.012
Threshold uncertainty score0.063

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.012
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0010.003
Scholarly communication0.0060.006
Open science0.0010.003
Research integrity0.0020.007
Insufficient payload (model declined to judge)0.0050.002

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 head0.077
GPT teacher head0.371
Teacher spread0.294 · 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

Citations0
Published2022
Admission routes1
Has abstractno

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