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Record W2249183013 · doi:10.1002/ijc.9993

Eighteenth UICC International Cancer Conference June 30–July 5, 2002

2002· article· en· W2249183013 on OpenAlexaff
Ernesto Crescenti, E Alegre, Máximo Croci, Conor Fearon, Maarten von Meyenfeldt, Alastair G.W. Moses, Ronald van Geenen, A.B. Roy, D. J. Gouma, Attilio Giacosa, A. Van Gossum, G. L. Comer, Michael A. J. Ferguson, Anne Voss, Michael J. Tisdale, Barbara Burtness, Richard Edwards, Elspeth Knill-Selby, Fred DePourcq, John R. Murren, Jill Lacy, Kazuhiro Yoshida, Naoki Nishimoto, Hideaki Ueno, Daisuke Fujii, Toshihiro Hirai, T Toge, D Fuii, Давид Заридзе, Dmitry Maximovitch, V. Yurchenko, В Д Чхиквадзе, O Koslovsky, М. М. Давыдов, И. С. Стилиди, V Marchukc, A Abdihakimov, V. A. Marchuk, B Beraya

Bibliographic record

VenueInternational Journal of Cancer · 2002
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicNutrition, Genetics, and Disease
Canadian institutionsCentre Hospitalier de l’Université de Montréal
Fundersnot available
KeywordsCitationLibrary scienceComputer scienceMedicine

Abstract

fetched live from OpenAlex

Background: Pancreatic carcinoma (PC) is highly resistant to chemotherapeutic agents (CHT). The most commonly used CHT have very poor response rates even and very low median survival rates (MSR). Several toxic effects are present. Previous results obtaining prolonged MSR free of side effects in colon carcinoma, PC and mammary carcinoma, lead us to carry on this trial using the association of low dose Lachesis Muta venom and trace elements Se, Zn and Mg LMO.

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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.177
Threshold uncertainty score0.994

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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.000

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 head0.018
GPT teacher head0.303
Teacher spread0.284 · 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
GenreEmpirical

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

Citations3
Published2002
Admission routes1
Has abstractyes

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