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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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bioRxiv (Cold Spring Harbor Laboratory)
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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.

23,962 results · 1 filter active ·
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20132025
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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.
23,962 works in the cohort · of 4,299,418page 66 of 480

Labels cover 39 of 23,962 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 23,962 of 23,962 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
Deep learning for early warning signals of regime shifts
Thomas M. Bury, R. I. Sujith, Induja Pavithran, Marten Scheffer, Timothy M. Lenton, Madhur Anand +1 more
2021· preprint· en· bioRxiv (Cold Spring Harbor Laboratory)· Environmental Science
machine prediction:candidate · noneconsensus · none
6
citations
afffundunlabeled
Humans forage for reward in reinforcement learning tasks
Meriam Zid, Veldon-James Laurie, Akram Shourkeshti, Dameon C Harrell, Alexander Herman, R. Becket Ebitz
2024· preprint· en· bioRxiv (Cold Spring Harbor Laboratory)· Neuroscience
machine prediction:candidate · noneconsensus · none
6
citations
afffundunlabeled
Spatial Organization of Rho GTPase signaling by RhoGEF/RhoGAP proteins
Paul Markus Müller, Juliane Rademacher, Richard D. Bagshaw, Keziban Merve, Girolamo Giudice, Louise Heinrich +26 more
2018· preprint· en· bioRxiv (Cold Spring Harbor Laboratory)· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
Genome dynamics across the evolutionary transition to endosymbiosis
Stefanos Siozios, Pol Nadal‐Jimenez, Tal Azagi, Hein Sprong, Crystal L. Frost, Steven R. Parratt +10 more
2023· preprint· en· bioRxiv (Cold Spring Harbor Laboratory)· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
6
citations
afffundunlabeled
Systematic discovery and classification of human cell line essential genes
Traver Hart, Megha Chandrashekhar, Michael Aregger, Zachary Steinhart, Kevin R. Brown, Stéphane Angers +1 more
2015· preprint· en· bioRxiv (Cold Spring Harbor Laboratory)· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
6
citations
fundno affunlabeled
Targeting the Administration of Ecdysterone in Doping Control Samples
Maria Kristina Parr, Gabriella Ambrosio, Bernhard Wuest, Monica Mazzarino, Xavier de la Torre, Francesca Sibilia +3 more
2019· preprint· en· bioRxiv (Cold Spring Harbor Laboratory)· Neuroscience
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
Image-based Cell Phenotyping Using Deep Learning
Samuel Berryman, Kerryn Matthews, Jeong Hyun Lee, Simon P. Duffy, Hongshen Ma
2019· preprint· en· bioRxiv (Cold Spring Harbor Laboratory)· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
6
citations

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