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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.

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Biosimilars and Bioanalytical Methods
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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
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The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

876 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
876 works in the cohort · of 4,299,418page 4 of 18

Labels cover 4 of 876 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 876 of 876 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.

aboutno affunlabeled
Biosimilars: Are They Bioequivalent?
Fernando Gomollón
2014· review· en· Digestive Diseases· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
21
citations
affaboutno abstractunlabeled
Subsequent entry biologics/biosimilars: a viewpoint from Canada
Anthony S. Russell, Vandana Ahluwalla, Cheryl Barnabé, Shahin Jamal, Robert Offer, Wojciech P. Olszynski +2 more
2012· review· en· Clinical Rheumatology· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
20
citations
affno abstractunlabeled
PANLAR consensus statement on biosimilars
Sérgio Cândido Kowalski, J. A. Benavides, P. A. B. Roa, Claudio Galarza-Maldonado, Carlo V. Caballero‐Uribe, Enrique R. Soriano +25 more
2019· article· en· Clinical Rheumatology· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
18
citations
affno abstractunlabeled
Ligand Binding Assays in the 21st Century Laboratory: Platforms
Franklin Spriggs, Zhandong Don Zhong, Afshin Safavi, Darshana Jani, Narasaiah Dontha, Anita Kant +7 more
2012· article· en· The AAPS Journal· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
18
citations
affvenueno abstractunlabeled
Searching for ‘omic’ biomarkers
David Lin, Zsuzsanna Hollander, Anna Meredith, Bruce M. McManus
2009· review· en· Canadian Journal of Cardiology· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
17
citations
affno abstractunlabeled
Effects of Staphylococcal Toxins on T-Cell Activity in vivo
Atsuo Ochi, Kouichi Yuh, Kiyoshi Migita, Yojiro Kawabe
2015· article· en· Chemical immunology/Fortschritte der Allergielehre/Progress in allergy/Chemical immunology and allergy· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
17
citations
affunlabeled
The Future of Precision Medicine
Ruud H J Verstegen, Shinya Ito
2019· editorial· en· Clinical Pharmacology & Therapeutics· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
16
citations

How this was built: Screen · Findings · About