MétaCan
Menu
Cohort builder

4,299,418 works, Canadian by any of four routes.

Every filter state is a URL; the URL is the query; the query is citable via /q/⟨hash⟩. The page, the API and the export parse the same parameters.

The current cohort, streamed from the database: every work column, the machine labels, the provisional scores, and the per-row validation status. Exports are capped at 100,000 rows. Mints a permanent /q/ link for this exact query. The same filters always produce the same link, whoever asks.

Search term
Author
Year range
Sort
Language
Type
Field
Venue
Topic
Cancer-related molecular mechanisms research
Retraction
Abstract
Evidence source
Study design
Label agreement
Label status

Direct Codex and Gemma labels are unvalidated and sparse. Distilled predictions cover the full frame and are also unvalidated. Choose the evidence source explicitly; absence of a direct label is never a negative label.

affaffiliation
fundfunder
venuejournal
aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

1,598 results · 1 filter active ·
Results by year
20002025
Publication date
Categories
Machine labels · sparse coverage
Evidence
Language
Type
Citations
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
1,598 works in the cohort · of 4,299,418page 5 of 32

Labels cover 2 of 1,598 works in this cohort. The rest are unlabeled, which is not a negative label: the label table is sparse today and grows as labeling rounds land.

Distilled predictions cover 1,598 of 1,598 works in this cohort. Predictions are machine_predicted_unvalidated. The Gemma side is a direct model label for every work (title-only); the Codex side is a distilled, calibrated classifier. Candidate is the union; consensus is the intersection.

affno abstractunlabeled
Non-coding RNAs in gastric cancer
Shanshan Xie, Yongxia Chang, Hao Jin, Yanjun Xu, Xiaoyi Yan, Aifu Lin +2 more
2020· review· en· Cancer Letters· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
61
citations
59
citations
affno abstractunlabeled
Myocardin: A novel player in atherosclerosis
Xiao-Dan Xia, Zhen Zhou, Xiaohua Yu, Xi‐Long Zheng, Chao‐Ke Tang
2016· review· en· Atherosclerosis· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
58
citations
affno abstractunlabeled
Interplay between SOX9 transcription factor and microRNAs in cancer
Milad Ashrafizadeh, Ali Zarrabi, Sima Orouei, Amirhossein Zabolian, Hossein Saleki, Negar Azami +11 more
2021· review· en· International Journal of Biological Macromolecules· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
58
citations
fundno affunlabeled
SnoRNA signatures in cartilage ageing and osteoarthritis
Mandy J. Peffers, Alzbeta Chabronova, Panagiotis Balaskas, Yongxiang Fang, Philip Dyer, Andy Cremers +4 more
2020· article· en· Scientific Reports· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
57
citations
affunlabeled
Angiogenesis-related non-coding RNAs and gastrointestinal cancer
Zahra Razavi, Kasra Asgarpour, Maryam Mahjoubin‐Tehran, Susan Rasouli, Haroon Khan, Mohammad Karim Shahrzad +2 more
2021· review· en· Molecular Therapy — Oncolytics· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
55
citations
affno abstractunlabeled
LncRNAs in Osteoarthritis
Hamza Malik Okuyan, Mehmet A. Begen
2022· review· en· Clinica Chimica Acta· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
52
citations

How this was built: Screen · Findings · About