MétaCan
Menu
Back to cohort
Record W3134246926

Selected abstracts submitted to the 2nd International Cancer Fatigue Symposium: Putting the Pieces Together : Hyatt Regency, Montreal, Quebec; October 3–4, 2010

2010· article· en· W3134246926 on OpenAlexaffvenueabout
Shan Jiang, Limin Jia, Yongxin Shang, Li Y, Dong Xie, Zhi Fu, Liu Y, Thiago de Bittencourt Buss, Agnieszka Kruk, Mikołaj Majkowicz, Justyna Janiszewska, Aleksandra Modlińska, Magdalena Osowicka, Monika Lichodziejewska–Niemierko, Kathryn Lasch, Joanne Scott, Carol Léonard, A Zeytoonjian, Andrew Yaworsky, Isabelle Cabot, Marc G. Duval, Julie Lacroix, N Humbert, Franco A. Carnevale, Marilyn Kirshbaum, Kärin Olson, Guendalina Graffigna, Kanaungnit Pongthavornkamol, Josée Lemoignan, Bruno Gagnon, Kait Moore, G. D. Cummings, D Aluwihar–Samaranayake, Garth L. Nicolson, R Ellithorpe, R Settineri, Clarisse Martinho, J Martin–MacKay, Cathy Cranston, L Savage–Larose, Jennie MacIntosh, Debbie Gravelle, R Bhagarva, Martin Chasen, Donna O. McCarthy Beckett, Loren E. Wold, Phan Sok, Leo Durkee, Aleksandra Chafranskaia, Pamela Catton, Joyce Nyhof‐Young, Esther Uña Cidón, S Yennurajalingam, Diana L. Urbauer, Eduardo Bruera, Doris Howell, Linda Barbera, Hsien Seow, Deborah Dudgeon, CHAS. WARRINGTON EARLE, A Husain, Jared S. Sussman, R Stradjahur, Clare Atzema, Marian Luctkar‐Flude, Jennifer E. Tranmer, Dianne Groll, Lucy Brown, Kurt Kroenke, Kevin L. Rand, Silvia M. Bigatti, Cláudia Oliveira Pimenta, Dálete Delalibera Corrêa de Faria Mota, Patrícia Graziela Braga, Geana Paula Kurita, Ricardo Caponero, K Schmidt, Karen Hunter, Matthew Parliament, Catherine Kubrak, S. Ghosh

Bibliographic record

VenueCurrent Oncology · 2010
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic and Financial Impacts of Cancer
Canadian institutionsAlberta Health ServicesQueen's UniversityMcMaster UniversityMcGill UniversitySunnybrook Health Science CentreMcGill University Health CentreUniversity of AlbertaUniversité de Montréal
Fundersnot available
KeywordsMedicineCancerLibrary scienceGerontologyInternal medicineComputer science
DOInot available

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.700
Threshold uncertainty score0.972

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0020.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.3180.045

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 head0.071
GPT teacher head0.333
Teacher spread0.262 · 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.

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
Published2010
Admission routes3
Has abstractno

Explore more

Same venueCurrent OncologySame topicEconomic and Financial Impacts of CancerFrench-language works237,207