MétaCan
ENFR
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.

Export CSVExport JSONAPI query

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
Platelet Disorders and Treatments
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.

1,944 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.
1,944 works in the cohort · of 4,299,418page 28 of 39

Labels cover 3 of 1,944 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 1,944 of 1,944 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.

affunlabeled
Laboratory issues in bleeding disorders
Francesco Rodeghiero, Arlette Ruiz‐Sàez, Paula Bolton‐Maggs, Catherine P.M. Hayward, Sukesh C. Nair, Alok Srivastava
2008· article· en· Haemophilia· Medicine
machine prediction:candidate · noneconsensus · none
2
citations
afffundno abstractunlabeled
PACSIN2 regulates platelet integrin β1 hemostatic function
Ratnashree Biswas, Emily K. Boyd, Nathan Eaton, Agata Steenackers, Marie L. Schulte, Friedrich Reusswig +7 more
2023· article· en· Journal of Thrombosis and Haemostasis· Medicine
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Diagnosis of von Willebrand disease
Mackenzie Bowman, Paula James
2025· article· en· Blood Advances· Medicine
machine prediction:candidate · noneconsensus · none
2
citations
affvenueunlabeled
Budesonide bests COVID-19
Samantha S Moe, G. Michael Allan, Anthony Train
2022· article· en· Canadian Family Physician· Medicine
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Current Abstracts
Amuchou Soraisham, Jeffrey M. Singh, N. L. Pollard, N Kalappanavar, P Bidhu, B Kannan +14 more
2005· article· en· The Indian Journal of Pediatrics· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
2
citations
affno abstractunlabeled
Platelet Function Tests
Marie Lordkipanidzé, Paul Harrison
2017· book-chapter· en· Medicine
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Malignant benign hematology
Michelle Sholzberg
2018· article· en· Research and Practice in Thrombosis and Haemostasis· Medicine
machine prediction:candidate · noneconsensus · none
2
citations
affvenueunlabeled
SCIg vs. IVIg: let’s give patients the choice!
Kathryn Samaan, Marie-Claude RN Levasseur, Hélène Decaluwe, Claire St-Cyr, Hugo Chapdelaine, Anne Des Roches +1 more
2014· article· en· Allergy Asthma and Clinical Immunology· Medicine
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Multi-Scale Models of Deformation of Blood Clots
Mark Alber, Shixin Xu, Zhiliang Xu, Олег Ким, Samuel Britton, Rustem I. Litvinov +1 more
2019· article· en· Biophysical Journal· Medicine
machine prediction:candidate · noneconsensus · none
2
citations
← previousnext →

How this was built: Screen · Findings · About