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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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Galaxies: Formation, Evolution, Phenomena
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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.

7,589 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.
7,589 works in the cohort · of 4,299,418page 81 of 152

Labels cover 6 of 7,589 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 7,589 of 7,589 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.

fundno affunlabeled
The 3D Lyman-<i>α</i> forest power spectrum from eBOSS DR16
Roger de Belsunce, Oliver H. E. Philcox, Vid Iršič, Patrick McDonald, Julien Guy, N. Palanque‐Delabrouille
2024· article· en· Monthly Notices of the Royal Astronomical Society· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
22
citations
affunlabeled
The galaxy–halo size relation of low-mass galaxies in FIRE
Eric Rohr, Robert Feldmann, James S. Bullock, Onur Çatmabacak, Michael Boylan-Kolchin, Claude‐André Faucher‐Giguère +4 more
2021· article· en· Monthly Notices of the Royal Astronomical Society· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
22
citations
affunlabeled
Galaxies in 3D across the Universe
D. Burgarella, Tōru Yamada, G. G. Fazio, Marcin Sawicki
2014· article· en· Proceedings of the International Astronomical Union· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
22
citations
affunlabeled
The OTELO survey
2018· article· en· Astronomy and Astrophysics· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
22
citations
afffundunlabeled
Stellar feedback in M83 as observed with MUSE
Lorenza Della Bruna, Angela Adamo, P. Amram, Erik Rosolowsky, Christopher Usher, Mattia Sirressi +11 more
2022· article· en· Astronomy and Astrophysics· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
22
citations
afffundunlabeled
Optimal filters for the moving lens effect
Selim C. Hotinli, Matthew C. Johnson, Joel Meyers
2021· article· en· Physical review. D/Physical review. D.· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
22
citations
afffundunlabeled
VERTICO
María J. Jiménez-Donaire, Toby Brown, C. D. Wilson, Ian Roberts, Nikki Zabel, Sara L. Ellison +16 more
2022· article· en· Astronomy and Astrophysics· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
22
citations
affunlabeled
Biases in the quasar mass-luminosity plane
2011· article· en· Monthly Notices of the Royal Astronomical Society· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
22
citations
afffundunlabeled
In pursuit of giants
D. Donevski, Ivana Damjanov, A. Nanni, Allison W. S. Man, Marika Giulietti, Michael Romano +7 more
2023· article· en· Astronomy and Astrophysics· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
22
citations

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