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Record W4242072678 · doi:10.1002/9780471420194.tnmm25

Stomach

2017· other· en· W4242072678 on OpenAlexaff
Takeshi Sano, Savtaj S. Brar, James D. Brierley, Jan B. Vermorken

Bibliographic record

VenueTNM Online · 2017
Typeother
Languageen
FieldMedicine
TopicGastric Cancer Management and Outcomes
Canadian institutionsPrincess Margaret Cancer CentreUniversity of TorontoMount Sinai Hospital
Fundersnot available
KeywordsMedicineCancerInternal medicineLymphadenectomyGastrectomyStomachOncologyIncidence (geometry)AdjuvantChemotherapyDiseaseNeoadjuvant therapyAdjuvant chemotherapyStage (stratigraphy)GastroenterologySurgery

Abstract

fetched live from OpenAlex

Summary Gastric cancer is the second most common cause of cancer death, though its age‐standardized incidence has been decreasing worldwide. Localized gastric cancer is treated with gastrectomy and adequate lymphadenectomy. Adjuvant or neoadjuvant chemo‐ or chemoradio‐therapy is considered in most cases except for Stage I disease. The optimal combination of various surgical approaches and adjuvant or neoadjuvant regimens has been sought in large‐scale clinical trials. Advanced, metastatic gastric cancer is treated with systemic chemotherapy. Although molecular targeting agents have been vigorously examined, their impact on survival is still very limited in advanced gastric cancer.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.042
Threshold uncertainty score0.974

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0260.000

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 head0.031
GPT teacher head0.343
Teacher spread0.312 · 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 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
Published2017
Admission routes1
Has abstractyes

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