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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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Peptidase Inhibition and Analysis
Retraction
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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.

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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.

1,095 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.
1,095 works in the cohort · of 4,299,418page 19 of 22

Labels cover 2 of 1,095 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 1,095 of 1,095 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
NPA_ref2942
2019· article· en· Zenodo (CERN European Organization for Nuclear Research)· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Abstract 1830: E7386, a selective inhibitor of the interaction between β-catenin and CREB-binding protein (CBP), in combination with lenvatinib (LEN), exerts antitumor activity in preclinical tumor models with prior immune checkpoint inhibitor (ICI)-based combination treatment
Satoshi Kawano, Yusuke Adachi, Megumi Kuronishi, Kohta Toshimitsu, Kotaro Kodama, Takayuki Kimura +7 more
2023· article· en· Cancer Research· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Adjuvant Etoposide for Very High-risk PFA Ependymoma: A Case Report
Melissa Mégalli, Émilie Giguère, Mélanie Létourneau, Cynthia Hawkins, William Legallou, Panagiota Giannakouros +7 more
2025· article· en· Journal of Pediatric Hematology/Oncology· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
A Chemical Probe Targeting AAK1 and BMP2K
Carrow I. Wells, Rafael M. Couñago, Juanita C. Limas, Tuanny L. Almeida, Jeanette Gowen Cook, David H. Drewry +12 more
2019· preprint· en· ChemRxiv· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
afffundunlabeled
Expression of TLR9 in Horse, Cow, and Human Lung
David Schneberger, Sarah Caldwell, Sarabjeet Singh Suri, Rani Kanthan, Baljit Singh
2009· article· en· The FASEB Journal· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
Massively parallel, computationally-guided design of a pro-enzyme
Brahm J. Yachnin, Laura R. Azouz, Ralph E. White, Conceição A.S.A. Minetti, David P. Remeta, Victor M. Tan +2 more
2021· preprint· en· bioRxiv (Cold Spring Harbor Laboratory)· Medicine
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About