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
Bone health 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.

1,566 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.
1,566 works in the cohort · of 4,299,418page 14 of 32

Labels cover 9 of 1,566 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 1,566 of 1,566 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
Osteoporotic Spondylolisthesis
Payam Tabrizi, Jacques A. Bouchard
2001· article· en· Spine· Medicine
machine prediction:candidate · noneconsensus · none
15
citations
affvenueunlabeled
Approach to Hypercalcemia
Sophy Mo
2022· article· en· McGill Journal of Medicine· Medicine
machine prediction:candidate · noneconsensus · none
15
citations
afffundunlabeled
Giant osteoclasts in patients under bisphosphonates
Fabrice Mac‐Way, Andrea Trombetti, Christian Noël, Marie‐Hélène Lafage‐Proust
2014· article· en· BMC Clinical Pathology· Medicine
machine prediction:candidate · noneconsensus · none
15
citations
afffundno abstractunlabeled
Has Paget's bone disease become rare?
Laëtitia Michou, Philippe Orcel
2019· editorial· en· Joint Bone Spine· Medicine
machine prediction:candidate · noneconsensus · none
14
citations
afffundaboutunlabeled
Gene-environment interactions in Paget's disease of bone
Mohamed Numan, Sonia Jean, Mariam Dessay, Édith Gagnon, Nathalie Amiable, Jacques P. Brown +1 more
2018· article· en· Joint Bone Spine· Medicine
machine prediction:candidate · noneconsensus · none
14
citations
fundno affno abstractunlabeled
Oro-dental phenotype in patients with RUNX2 duplication
Laure Merametdjian, Tony Prud’homme, Cédric Le Caignec, Bertrand Isidor, Séréna Lopez-Cazaux
2018· article· en· European Journal of Medical Genetics· Medicine
machine prediction:candidate · noneconsensus · none
13
citations
affunlabeled
Bone Metastases From Advanced Cancers
Margaret I. Fitch, Cathy Maxwell, Claire Ryan, Helen Löthman, Lawrence Drudge‐Coates, Luís Costa
2009· article· en· Clinical journal of oncology nursing· Medicine
machine prediction:candidate · noneconsensus · none
13
citations

How this was built: Screen · Findings · About