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Record W1999426693 · doi:10.3747/co.22.2362

Consensus Statement: The 16th Annual Western Canadian Gastrointestinal Cancer Consensus Conference; Saskatoon, Saskatchewan; September 5–6, 2014

2015· article· en· W1999426693 on OpenAlexaffvenueabout
Shahid Ahmed, Oliver F. Bathe, Scott Berry, Donald Buie, Jonathan Davies, C. Döll, Scot Dowden, Sharlene Gill, Vinessa Gordon, Pamela Hebbard, Emma Jones, Hagen F. Kennecke, Sheryl Koski, Murray Krahn, Duc Le, Howard J. Lim, C. Lund, Yigang Luo, A. Mcffadden, John Paul McGhie, Karen Mulder, J. Park, Farid Rashidi, Amer Sami, K. Tan, Ralph Wong

Bibliographic record

VenueCurrent Oncology · 2015
Typearticle
Languageen
FieldMedicine
TopicColorectal Cancer Surgical Treatments
Canadian institutionsUniversity of British ColumbiaSunnybrook Health Science CentreUniversity of ManitobaBC Cancer AgencyFoothills Medical CentreUniversity of SaskatchewanUniversity of AlbertaCancerCare ManitobaSaskatchewan Cancer Agency
FundersSanofiSirtex MedicalEli Lilly and CompanyBristol-Myers SquibbAmgen
KeywordsStatement (logic)MedicineFamily medicineLibrary sciencePolitical scienceLawComputer science

Abstract

fetched live from OpenAlex

The 16th annual Western Canadian Gastrointestinal Cancer Consensus Conference was held in Saskatoon, Saskatchewan, September 4-5, 2014. The Consensus Conference is an interactive, multidisciplinary event attended by health care professionals from across western Canada (British Columbia, Alberta, Saskatchewan, and Manitoba) involved in the care of gastrointestinal cancer. Surgical, medical, and radiation oncologists; pathologists; radiologists; and allied health care professionals participated in presentation and discussion sessions for the purposes of developing the recommendations presented here. This consensus statement addresses current issues in the management of colorectal 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 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)0.055
metaresearch head score (Gemma)0.124
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: Other · Consensus signal: none
Teacher disagreement score0.971
Threshold uncertainty score0.364

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0550.124
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0050.004
Science and technology studies0.0060.002
Scholarly communication0.0060.003
Open science0.0070.005
Research integrity0.0090.016
Insufficient payload (model declined to judge)0.0250.011

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 head0.155
GPT teacher head0.415
Teacher spread0.260 · 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
Published2015
Admission routes3
Has abstractyes

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