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Record W2145536844 · doi:10.3747/co.19.931

Eastern Canadian Colorectal Cancer Consensus Conference: Application of New Modalities of Staging and Treatment of Gastrointestinal Cancers

2012· article· en· W2145536844 on OpenAlexaffvenueabout
T. Di Valentin, Yasmin Alam, Abdullah A. Alsharm, S.A.M. Arif, F. Aubin, James Biagi, Chris Booth, Susan Bourque, Ronald L. Burkes, P. Champion, Brian Colwell, C. Cripps, M Dallaire, M. Dorreen, N. Finn, Dominique Frechette, Steven Gallinger, J. Gapski, Carman A. Giacomantonio, Sharlene Gill, Rakesh Goel, Rachel Goodwin, L. Grimard, Axel Grothey, Nazik Hammad, David W. Hedley, Kartik Jhaveri, Derek J. Jonker, Y.J. Ko, Mary Lesperance, Jean A. Maroun, Heather Ostic, Nancy Perrin, M. Rother, Ève St‐Hilaire, Mustapha Tehfé, Michael P. Thirlwell, Stephen Welch, Nirit Yarom, Tim Asmis

Bibliographic record

VenueCurrent Oncology · 2012
Typearticle
Languageen
FieldMedicine
TopicColorectal Cancer Treatments and Studies
Canadian institutionsBC Cancer AgencyCapital District Health AuthorityCegep de Sept IlesOttawa Hospital
Fundersnot available
KeywordsMedicineColorectal cancerOxaliplatinCancerOncologyModalitiesInternal medicineStage (stratigraphy)General surgery

Abstract

fetched live from OpenAlex

The annual Eastern Canadian Colorectal Cancer Consensus Conference was held in Ottawa, Ontario, October 22-23, 2010. Health care professionals involved in the care of patients with colorectal cancer participated in presentation and discussion sessions for the purpose of developing the recommendations presented here. This consensus statement addresses current issues in the management of colorectal cancer, such as the use of epidermal growth factor inhibitors in metastatic colon cancer, the benefit of calcium and magnesium with oxaliplatin chemotherapy, the role of microsatellites in treatment decisions for stage II colon cancer, the staging and treatment of rectal cancer, and the management of colorectal and metastatic pancreatic cancers.

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)0.040
metaresearch head score (Gemma)0.035
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: Not applicable
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.258
Threshold uncertainty score0.518

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0400.035
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0060.007
Science and technology studies0.0050.003
Scholarly communication0.0030.002
Open science0.0090.003
Research integrity0.0060.010
Insufficient payload (model declined to judge)0.0040.001

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 head0.124
GPT teacher head0.400
Teacher spread0.276 · 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

Citations4
Published2012
Admission routes3
Has abstractyes

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