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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.

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This cohort has 4,299,418 works, more than the 100,000-row export cap: the file will contain the first 100,000 ordered by OpenAlex id, and says so in its last line. Narrow the cohort, page the API, or rebuild the frame from the repository for the rest. 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.

4,299,418 results · 0 filters active
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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.
4,299,418 works in the cohort · of 4,299,418page 1,388 of 85,989

Labels cover 11,048 of 4,299,418 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 4,299,418 of 4,299,418 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
Search for the Standard Model Higgs Boson in the Diphoton Decay Channel with<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mn>4.9</mml:mn><mml:mtext> </mml:mtext><mml:mtext> </mml:mtext><mml:msup><mml:mi>fb</mml:mi><mml:mrow><mml:mo>−</mml:mo><mml:mn>1</mml:mn></mml:mrow></mml:msup></mml:math>of<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mi>p</mml:mi><mml:mi>p</mml:mi></mml:math>Collision Data at<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:msqrt><mml:mi>s</mml:mi></mml:msqrt><mml:mo>=</mml:mo><mml:mn>7</mml:mn><mml:mtext> </mml:mtext><mml:mtext> </mml:mtext><mml:mi>TeV</mml:mi></mml:math>with ATLAS
G. Aad, B. Abbott, J. Abdallah, S. Abdel Khalek, A. A. Abdelalim, O. Abdinov +2998 more
2012· article· lv· Physical Review Letters· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
218
citations
affunlabeled
Ferric Carboxymaltose in Heart Failure with Iron Deficiency
Robert J. Mentz, Jyotsna Garg, Frank W. Rockhold, Javed Butler, Carmine G. De Pasquale, Justin A. Ezekowitz +10 more
2023· article· en· New England Journal of Medicine· Medicine
machine prediction:candidate · noneconsensus · none
218
citations
affaboutunlabeled
Modeling and Dynamics of Infectious Diseases
Zhien Ma, Yicang Zhou, Jianhong Wu
2009· book· en· Series in contemporary applied mathematics· Mathematics
machine prediction:candidate · noneconsensus · none
218
citations
affunlabeled
Course and Prognostic Factors for Neck Pain in Workers
Linda Carroll, Sheilah Hogg‐Johnson, Pierre Côté, Gabrielle van der Velde, Lena W. Holm, Eugene J. Carragee +6 more
2008· review· en· Spine· Medicine
machine prediction:candidate · noneconsensus · none
218
citations
affunlabeled
The Fine Structure of Cyclic Agree
Milan Řezáč
2003· article· en· Syntax· Arts and Humanities
machine prediction:candidate · noneconsensus · none
218
citations
afffundunlabeled
Molecular Findings in Beckwith–Wiedemann Syndrome
Sanaa Choufani, Cheryl Shuman, Rosanna Weksberg
2013· review· en· American Journal of Medical Genetics Part C Seminars in Medical Genetics· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
218
citations
affunlabeled
Target Selection and Validation of DESI Luminous Red Galaxies
Rongpu Zhou, Biprateep Dey, Jeffrey A. Newman, Daniel J. Eisenstein, Kyle Dawson, S. Bailey +42 more
2023· article· en· The Astronomical Journal· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
218
citations
affunlabeled
How to model supernovae in simulations of star and galaxy formation
Philip F. Hopkins, Andrew Wetzel, Dušan Kereš, Claude‐André Faucher‐Giguère, Eliot Quataert, Michael Boylan-Kolchin +3 more
2018· article· en· Monthly Notices of the Royal Astronomical Society· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
218
citations
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