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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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Stellar, planetary, and galactic studies
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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.

affaffiliation
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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.

6,765 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.
6,765 works in the cohort · of 4,299,418page 131 of 136

Labels cover 2 of 6,765 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 6,765 of 6,765 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
The winds of hot stars in M31 and M33
L. Bianchi, J. B. Hutchings, Philip Massey
2008· book-chapter· en· Lecture notes in physics· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
The FUSE Spectrum of the DB White Dwarf GD 190
Nicolas Petitclerc, F. Wesemaël, J. W. Kruk, P. Chayer
2003· book-chapter· en· White Dwarfs· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Using Cepheid Period Changes to Test Stellar Evolutionary Models
D. G. Turner, Mohamed Abdel‐Sabour Abdel‐Latif, Л. Н. Бердников
2005· article· en· Journal of the Royal Astronomical Society of Canada· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Binary Universe: A Virtual Moon
Blake Nancarrow
2015· article· en· Journal of the Royal Astronomical Society of Canada· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Models of classical Be stars with gravity darkening
M. A. McGill, T. A. A. Sigut, C. E. Jones
2010· article· en· Proceedings of the International Astronomical Union· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
A possible solution to the Lyman/Balmer line problem in hot DA white dwarfs
S. P. Preval, M. A. Barstow, N. R. Badnell, J. B. Holberg, I. Hubený
2015· book-chapter· en· Strathprints: The University of Strathclyde institutional repository (University of Strathclyde)· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Stellar Spectropolarimetry
S. C. Marsden, Eric Stempels
2009· article· lt· AIP conference proceedings· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
Eccentricities of Close Stellar Binaries
Yanqin Wu, Sam Hadden, Janosz W. Dewberry, Kareem El-Badry, Christopher D. Matzner
2024· preprint· en· arXiv (Cornell University)· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
Mid-to-Late M Dwarfs Lack Jupiter Analogs
Emily Pass, Jennifer G. Winters, David Charbonneau, Jonathan Irwin, David W. Latham, Z. Benkhaldoun +3 more
2023· preprint· en· arXiv (Cornell University)· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About