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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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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.

2,862 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.
2,862 works in the cohort · of 4,299,418page 37 of 58

Labels cover 5 of 2,862 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 2,862 of 2,862 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.

aboutno affunlabeled
Lessons from SARS
Barry R. Bloom
2003· editorial· en· Science· Medicine
machine prediction:candidate · noneconsensus · none
41
citations
affunlabeled
Legal reform to enhance global text and data mining research
Sean Fiil-Flynn, Brandon Butler, Michael W. Carroll, Or Cohen‐Sasson, Donna Craig, Lucie Guibault +12 more
2022· article· en· Science· Business, Management and Accounting
machine prediction:candidate · scholarly_communicationconsensus · none
40
citations
affunlabeled
Certify reproducibility with confidential data
Christophe Pérignon, Kamel Gadouche, Christophe Hurlin, Roxane Silberman, Eric Debonnel
2019· article· en· Science· Decision Sciences
machine prediction:candidate · metaresearchconsensus · none
40
citations
affunlabeled
ELSI 2.0 for Genomics and Society
Jane Kaye, Eric M. Meslin, Bartha Maria Knoppers, Eric T. Juengst, Mylène Deschênes, Anne Cambon‐Thomsen +7 more
2012· article· en· Science· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · stsconsensus · none
39
citations
affunlabeled
Regulating advanced artificial agents
Michael K. Cohen, Noam Kolt, Yoshua Bengio, Gillian K. Hadfield, Stuart Russell
2024· article· en· Science· Social Sciences
machine prediction:candidate · noneconsensus · none
38
citations
affunlabeled
Standards and Infrastructure for Innovation Data Exchange
Haak Laurel, David Baker, Donna K. Ginther, Gregg Gordon, Matthew A. Probus, Nirmala Kannankutty +1 more
2012· article· en· Science· Computer Science
machine prediction:candidate · noneconsensus · none
38
citations
affunlabeled
Avoiding Empty Ocean Commitments at Rio+20
Liane Veitch, Nicholas K. Dulvy, Heather J. Koldewey, Susan Lieberman, Daniel Pauly, Callum M. Roberts +2 more
2012· article· en· Science· Environmental Science
machine prediction:candidate · noneconsensus · none
37
citations
afffundunlabeled
Risk-based reboot for global lab biosafety
Kazunobu Kojima, Catherine Booth, Kathrin Summermatter, Allan Bennett, Marianne Heisz, Stuart D. Blacksell +1 more
2018· article· en· Science· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
37
citations
affunlabeled
Ocean Chemistry and Early Animals
Guy M. Narbonne
2010· letter· en· Science· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
37
citations
affunlabeled
Harnessing chirality for valleytronics
Mark B. Lundeberg, Joshua Folk
2014· letter· en· Science· Materials Science
machine prediction:candidate · noneconsensus · none
37
citations
affaboutunlabeled
The Global Alliance for Chronic Diseases
Abdallah S. Daar, Elizabeth G. Nabel, Stig Pramming, Warwick P. Anderson, Alain Beaudet, De‐Pei Liu +4 more
2009· letter· en· Science· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
37
citations
affunlabeled
Bringing machine learning to the masses
Matthew Hutson
2019· article· en· Science· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
37
citations
affunlabeled
Mitochondrial-nuclear DNA mismatch matters
Kimberly J. Dunham‐Snary, Scott W. Ballinger
2015· article· en· Science· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
37
citations
affunlabeled
Glass Surfaces Not So Glassy
John Dutcher, M. D. Ediger
2008· letter· en· Science· Materials Science
machine prediction:candidate · noneconsensus · none
37
citations
affunlabeled
The coevolution of fungus-ant agriculture
Ted R. Schultz, Jeffrey Sosa‐Calvo, Matthew Kweskin, Michael W. Lloyd, Bryn T. M. Dentinger, Pepijn W. Kooij +17 more
2024· article· en· Science· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
37
citations
affunlabeled
Fostering reproducibility in industry-academia research
Barbara R. Jasny, N. S. Wigginton, Marcia McNutt, Tania Bubela, Stuart Buck, Robert Cook‐Deegan +14 more
2017· article· en· Science· Computer Science
machine prediction:candidate · metaresearch+open_scienceconsensus · metaresearch
36
citations
affunlabeled
Shark Sanctuaries: Substance or Spin?
Lindsay N. K. Davidson
2012· letter· en· Science· Environmental Science
machine prediction:candidate · noneconsensus · none
36
citations
affunlabeled
Photonic axion insulator
Gui-Geng Liu, Subhaskar Mandal, Xiang Xi, Qiang Wang, Chiara Devescovi, Antonio Morales-Pérez +11 more
2025· article· en· Science· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
35
citations
affunlabeled
Gene Doping and Sport
Theodore Friedmann, Olivier Rabin, Mark S. Frankel
2010· article· en· Science· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
34
citations
affunlabeled
Extracting resources from abandoned mines
Zhongwen Bao, Carol J. Ptacek, David W. Blowes
2023· article· en· Science· Engineering
machine prediction:candidate · noneconsensus · none
34
citations
affunlabeled
Give Shark Sanctuaries a Chance
Demian D. Chapman, Michael Frisk, Debra L. Abercrombie, Carl Safina, Samuel H. Gruber, Elizabeth A. Babcock +7 more
2013· letter· en· Science· Environmental Science
machine prediction:candidate · noneconsensus · none
34
citations
affunlabeled
Traditional Knowledge underlies One Health
Joe Copper Jack, Jared Gonet, Anne Mease, Katarzyna Nowak
2020· article· en· Science· Medicine
machine prediction:candidate · noneconsensus · none
34
citations

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