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
Elsevier eBooks
Topic
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.

9,285 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.
9,285 works in the cohort · of 4,299,418page 168 of 186

Labels cover 4 of 9,285 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 9,285 of 9,285 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
Longitudinal studies
E. Donovan
2023· book-chapter· en· Elsevier eBooks· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
An engineer’s guide to Zr-alloys
M. Griffiths
2025· book-chapter· en· Elsevier eBooks· Materials Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Sepsis and endotoxin: A brief history
Debra Foster, John A. Kellum
2025· book-chapter· en· Elsevier eBooks· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Hair tourniquet
Emily Patricia Anne Brander
2025· book-chapter· en· Elsevier eBooks· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
The Animal Cell
Donald B. McMillan, Richard J. Harris
2018· book-chapter· en· Elsevier eBooks· Veterinary
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Deep learning: fundamentals
Ian H. Witten, Eibe Frank, Mark A. Hall, Christopher Pal, James R. Foulds
2025· book-chapter· en· Elsevier eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Medical cannabis and use in migraine
Jessica X.R. Jiang, Alasdair M. Barr
2023· book-chapter· en· Elsevier eBooks· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Toward a Logical Scientific Medicine
Erwin B. Montgomery
2025· book-chapter· en· Elsevier eBooks· Mathematics
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Gut Microbial Mechanisms in Nutrition and Health
Edward E. Ishiguro, Natasha Haskey, Kristina Campbell
2023· book-chapter· en· Elsevier eBooks· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Effect of vitamin D on health and disease
Katerina Trajanoska, Fernando Rivadeneira, J. Brent Richards, Despoina Manousaki
2023· book-chapter· en· Elsevier eBooks· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Advances in Toxicoproteomics
David R. Goodlett, Tanzila Rehman
2024· book-chapter· en· Elsevier eBooks· Chemistry
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Contributor contact details
J. Hoorfar, D. Schoder, M. Wagner, F. Allerberger, A.G. Stewart, R. Vivancos +92 more
2012· book-chapter· en· Elsevier eBooks· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Introduction
Vítor Monteiro, João L. Afonso, Sheldon S. Williamson
2024· book-chapter· en· Elsevier eBooks· Engineering
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Introduction
Nima Gharib, Javad Farrokhi Derakhshandeh, Peter Radziszewski
2023· book-chapter· en· Elsevier eBooks· Physics and Astronomy
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Invasive plants and climate change
David R. Cléments, Alexis M. Graves
2025· book-chapter· en· Elsevier eBooks· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Anandamide in personality disorders
Nathan J. Kolla, Michelle De Pol
2024· book-chapter· en· Elsevier eBooks· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
The dynamic of self and its semantics
Georg Northoff
2024· book-chapter· en· Elsevier eBooks· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Machine learning
Mohammad Ali Ahmadi
2024· book-chapter· en· Elsevier eBooks· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Zero emissions commitment
Andrew H. MacDougall
2025· book-chapter· en· Elsevier eBooks· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Polar Coasts
Donald L. Forbes, James D. Hansom
2011· book-chapter· en· Elsevier eBooks· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Dietary fish intake and multiple sclerosis: A new narrative
Sama Bitarafan, Mohammad Hossein Harirchian, Payam Farahbakhsh, Danesh Soltani
2023· book-chapter· en· Elsevier eBooks· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Artificial intelligence and public health
K. Lee, B. Gandhi, Jonathan A. Tangsrivimol, Hafeez Ul Hassan Virk, Adham El Sherbini, Zhen Wang +2 more
2025· book-chapter· en· Elsevier eBooks· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Immunology of the Female Reproductive Mucosa
Nuzhat Rahman, Margaret W.Y. Choi, Amy Gillgrass, Charu Kaushic
2025· book-chapter· en· Elsevier eBooks· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Breast cancer stem cell: Role in pathogenesis
Riya Sharma, Vikas Tiwari, Seema Seema, Manpreet Singh, Pankaj Kumar, Vivek Kumar Garg +3 more
2025· book-chapter· en· Elsevier eBooks· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Adaptive progressive hybrid censoring
N. Balakrishnan, Erhard Cramer, Debasis Kundu
2023· book-chapter· en· Elsevier eBooks· Mathematics
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Pseudo-bound optimization
Ismail Ben Ayed
2023· book-chapter· en· Elsevier eBooks· Engineering
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About