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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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MicroRNA in disease regulation
Retraction
Abstract
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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.

2,284 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.
2,284 works in the cohort · of 4,299,418page 38 of 46

Labels cover 5 of 2,284 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 2,284 of 2,284 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.

afffundunlabeled
Detecting Differential Variable microRNAs via Model-Based Clustering
Xuan Li, Yuejiao Fu, Xiaogang Wang, Dawn L. DeMeo, Kelan G. Tantisira, Scott T. Weiss +1 more
2018· preprint· en· bioRxiv (Cold Spring Harbor Laboratory)· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
References
2016· article· en· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affno abstractunlabeled
MicroRNA and Cancer Treatment: A Commentary
Seyed Mohammad Amin Kormi, Shima Ardehkhani, Amir Azizi, Mina Bakhshali Nezhad Bakhshali Nezhad, Samaneh Heidarzade, Fatemeh Zahra Karimi +1 more
2017· article· en· The Cancer Press· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Abstract 1458: The precursor miR-138/2, but not miR-138/1, targets p53 mRNA and contributes to the acquisition of melanoma metastatic phenotype: Are the miRNAs precursors important to direct mature miRNA to mRNA targets
Adriana Taveira da Cruz, Aline Hunger, Geneviève C. Paré, Dulcie Lai, Fabiana Henriques Machado de Melo, Bryan E. Strauss +2 more
2014· article· en· Cancer Research· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About