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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 Machine Intelligence
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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.

76 results · 1 filter active ·
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20182025
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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.
76 works in the cohort · of 4,299,418page 1 of 2

Labels cover 1 of 76 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 76 of 76 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.

affno abstractunlabeled
Shortcut learning in deep neural networks
Robert Geirhos, Jörn-Henrik Jacobsen, Claudio Michaelis, Richard S. Zemel, Wieland Brendel, Matthias Bethge +1 more
2020· article· en· Nature Machine Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
1,811
citations
affno abstractunlabeled
Biological underpinnings for lifelong learning machines
Dhireesha Kudithipudi, Mario Aguilar-Simon, Jonathan Babb, Maxim Bazhenov, Douglas Blackiston, Josh Bongard +37 more
2022· article· en· Nature Machine Intelligence· Engineering
machine prediction:candidate · noneconsensus · none
225
citations
affno abstractunlabeled
Governing AI safety through independent audits
Gregory Falco, Ben Shneiderman, Julia Badger, Ryan Carrier, Anton Dahbura, David Danks +14 more
2021· article· en· Nature Machine Intelligence· Social Sciences
machine prediction:candidate · noneconsensus · none
221
citations
affunlabeled
Foundation model for cancer imaging biomarkers
Suraj Pai, Dennis Bontempi, Ibrahim Hadžić, Vasco Prudente, Mateo Sokač, Tafadzwa L. Chaunzwa +5 more
2024· article· en· Nature Machine Intelligence· Medicine
machine prediction:candidate · noneconsensus · none
171
citations
afffundno abstractunlabeled
Learning function from structure in neuromorphic networks
Laura E. Suárez, Blake A. Richards, Guillaume Lajoie, Bratislav Mišić
2021· article· en· Nature Machine Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
126
citations
afffundunlabeled
Neurons learn by predicting future activity
Artur Luczak, Bruce L. McNaughton, Yoshimasa Kubo
2022· article· en· Nature Machine Intelligence· Neuroscience
machine prediction:candidate · noneconsensus · none
86
citations
afffundunlabeled
A fast blind zero-shot denoiser
Jason Lequyer, Reuben Philip, Amit Sharma, Wen‐Hsin Hsu, Laurence Pelletier
2022· article· en· Nature Machine Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
79
citations
affno abstractunlabeled
Transformers and genome language models
Micaela Elisa Consens, C Dufault, Michael Wainberg, Duncan Forster, Mehran Karimzadeh, Hani Goodarzi +3 more
2025· article· en· Nature Machine Intelligence· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
75
citations
affno abstractunlabeled
Learnability can be undecidable
Shai Ben-David, Pavel Hrubeš, Shay Moran, Amir Yehudayoff
2018· article· en· Nature Machine Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
73
citations
afffundno abstractunlabeled
Neural Error Mitigation of Near-Term Quantum Simulations
Elizabeth R. Bennewitz, Florian Hopfmueller, Bohdan Kulchytskyy, Juan Carrasquilla, Pooya Ronagh
2022· article· en· Nature Machine Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
60
citations
affno abstractunlabeled
A text-guided protein design framework
Shengchao Liu, Yanjing Li, Zhuoxinran Li, Anthony Gitter, Yutao Zhu, Jiarui Lu +7 more
2025· article· en· Nature Machine Intelligence· Social Sciences
machine prediction:candidate · noneconsensus · none
23
citations

How this was built: Screen · Findings · About