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
Hydrogels: synthesis, properties, applications
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.

749 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.
749 works in the cohort · of 4,299,418page 13 of 15

Labels cover 0 of 749 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 749 of 749 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
Bioresponsive Hydrogels and Microgels
Xue Li, Michael J. Serpe
2014· other· en· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
2
citations
afffundunlabeled
pH-responsive drug-delivery devices for implantable applications
Jian Chen, Michael Chu, Khajag Koulajian, Xiao Yu Wu, Adria Giacca, Yu Sun
2009· article· en· TRANSDUCERS 2009 - 2009 International Solid-State Sensors, Actuators and Microsystems Conference· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Cellulose-based hydrogels in cancer diagnostic and therapy
Ankur Sharma, Baljinder Kaur, Sunaina Sunaina, Gurpreet Kaur, Satish K. Tuteja, Sandeep Kumar
2025· book-chapter· en· Elsevier eBooks· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Novel Ti surface coated with <scp>PVA</scp> hydrogel and chitosan nanoparticles with antibacterial drug release: An experimental in vitro study
Pablo Yael Carrazco Ávila, Teresa Arias Moliz, Juan Ignacio Rosales-Leal, Pilar Valderrama, Miguel A. Rodríguez-Valverde, María Encarnación Morales Hernández
2024· article· en· Clinical Implant Dentistry and Related Research· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Poly(vinyl alcohol) (PVA) in hydrogels, a molecular perspective
Ana Cadena-Nogales, Samara Mishelle Ona, José F. Álvarez-Barreto, Marco León, Miguel Méndez, Daniela Viteri
2019· article· en· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
10.51847/wFYJh58
2000· article· en· Time to knit· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
1
citations
aboutno affunlabeled
Advances in Hydrogels
2022· book· en· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About