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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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Nature 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.

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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.

403 results · 1 filter active ·
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20042025
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
403 works in the cohort · of 4,299,418page 4 of 9

Labels cover 1 of 403 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 403 of 403 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
Transformers in single-cell omics: a review and new perspectives
Artur Szałata, Karin Hrovatin, Sören Becker, Alejandro Tejada-Lapuerta, Haotian Cui, Bo Wang +1 more
2024· review· en· Nature Methods· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
160
citations
affno abstractunlabeled
Independent optical excitation of distinct neural populations
Nathan C Klapoetke, Yasunobu Murata, Sung Soo Kim, Stefan R. Pulver, Amanda Birdsey-Benson, Yong Ku Cho +15 more
2014· article· en· Nature Methods· Neuroscience
machine prediction:candidate · noneconsensus · none
160
citations
affno abstractunlabeled
Visualizing biological data—now and in the future
Séan O’Donoghue, Anne‐Claude Gavin, Nils Gehlenborg, David S. Goodsell, Jean-Karim Hèriché, Cydney Nielsen +6 more
2010· article· en· Nature Methods· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · metaresearchconsensus · none
147
citations
affno abstractunlabeled
Optimized cell transplantation using adult rag2 mutant zebrafish
Qin Tang, Nouran S. Abdelfattah, Jessica S. Blackburn, John C. Moore, Sarah Martinez, Finola E. Moore +7 more
2014· article· en· Nature Methods· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
145
citations
affno abstractunlabeled
Real-time monitoring of ubiquitination in living cells by BRET
Julie Perroy, Stéphanie M. Pontier, Pascale G. Charest, Muriel Aubry, Michel Bouvier
2004· article· en· Nature Methods· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
144
citations
affno abstractunlabeled
Optimal experimental design
Byran J. Smucker, Martin Krzywinski, Naomi Altman
2018· article· en· Nature Methods· Decision Sciences
machine prediction:candidate · noneconsensus · none
140
citations
affno abstractunlabeled
P values and the search for significance
Naomi Altman, Martin Krzywinski
2016· article· en· Nature Methods· Mathematics
machine prediction:candidate · metaresearchconsensus · none
134
citations
affno abstractunlabeled
Next-generation gap
John D. McPherson
2009· review· en· Nature Methods· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
130
citations
affno abstractunlabeled
The class imbalance problem
Fadel M. Megahed, Ying‐Ju Chen, Aly Megahed, Yuya Jeremy Ong, Naomi Altman, Martin Krzywinski
2021· article· en· Nature Methods· Computer Science
machine prediction:candidate · noneconsensus · none
126
citations
affno abstractunlabeled
A unique and universal molecular barcode array
Sarah E. Pierce, Eula Fung, Daniel F. Jaramillo, Angela Chu, Ronald W. Davis, Corey Nislow +1 more
2006· article· en· Nature Methods· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
121
citations
afffundno abstractunlabeled
Computational prediction of neural progenitor cell fates
Andrew R. Cohen, Francisco L.A.F. Gomes, Badrinath Roysam, Michel Cayouette
2010· article· en· Nature Methods· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
114
citations
affno abstractunlabeled
Bayes' theorem
Jorge López Puga, Martin Krzywinski, Naomi Altman
2015· article· en· Nature Methods· Computer Science
machine prediction:candidate · noneconsensus · none
113
citations
affno abstractunlabeled
Modeling infectious epidemics
Ottar N. Bjørnstad, Katriona Shea, Martin Krzywinski, Naomi Altman
2020· article· en· Nature Methods· Mathematics
machine prediction:candidate · noneconsensus · none
107
citations

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