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
Erythrocyte Function and Pathophysiology
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.

844 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.
844 works in the cohort · of 4,299,418page 1 of 17

Labels cover 0 of 844 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 844 of 844 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.

afffundno abstractunlabeled
Hematopoiesis: A Human Perspective
Sergei Doulatov, Faiyaz Notta, Elisa Laurenti, John E. Dick
2012· review· en· Cell stem cell· Medicine
machine prediction:candidate · noneconsensus · none
862
citations
affunlabeled
The Role of <i>PIEZO2</i> in Human Mechanosensation
Alexander T. Chesler, Marcin Szczot, Diana Bharucha‐Goebel, Marta Čeko, Sandra Donkervoort, Claire Laubacher +11 more
2016· article· en· New England Journal of Medicine· Medicine
machine prediction:candidate · noneconsensus · none
472
citations
afffundno abstractunlabeled
Tuning immunity through tissue mechanotransduction
Huixun Du, Juliet M. Bartleson, Sergei Butenko, Valentina Alonso, Wendy F. Liu, Daniel A. Winer +1 more
2022· review· en· Nature reviews. Immunology· Medicine
machine prediction:candidate · noneconsensus · none
408
citations
affunlabeled
Carrier Erythrocytes: An Overview
Mehrdad Hamidi, Hosnieh Tajerzadeh
2003· review· en· Drug Delivery· Medicine
machine prediction:candidate · noneconsensus · none
212
citations
affunlabeled
The Effect of Sepsis on the Erythrocyte
Ryon M. Bateman, Michael D. Sharpe, Mervyn Singer, Christopher G. Ellis
2017· review· en· International Journal of Molecular Sciences· Medicine
machine prediction:candidate · noneconsensus · none
199
citations
affunlabeled
Safety and Efficacy of Mitapivat in Pyruvate Kinase Deficiency
Rachael F. Grace, Christian Rosé, D. Mark Layton, F. Galactéros, Wilma Barcellini, D. Holmes Morton +15 more
2019· article· en· New England Journal of Medicine· Medicine
machine prediction:candidate · noneconsensus · none
159
citations
afffundno abstractunlabeled
TACAN Is an Ion Channel Involved in Sensing Mechanical Pain
Lou Beaulieu-Laroche, Marine Christin, Annmarie Donoghue, Francina Agosti, Noosha Yousefpour, Hugues Petitjean +20 more
2020· article· en· Cell· Medicine
machine prediction:candidate · noneconsensus · none
155
citations
affunlabeled
Immunoassay for human serum erythroferrone
Tomas Ganz, Grace Jung, Arash Naeim, Yelena Ginzburg, Zahra Pakbaz, Patrick B. Walter +2 more
2017· article· en· Blood· Medicine
machine prediction:candidate · noneconsensus · none
128
citations

How this was built: Screen · Findings · About