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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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Calibration and Measurement Techniques
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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.

392 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.
392 works in the cohort · of 4,299,418page 2 of 8

Labels cover 0 of 392 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 392 of 392 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.

affunlabeled
The JWST tunable filter imager (TFI)
René Doyon, J. B. Hutchings, Neil Rowlands, Clinton Evans, Eran Greenberg, C. S. Haley +18 more
2010· article· en· Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE· Engineering
machine prediction:candidate · noneconsensus · none
17
citations
affunlabeled
ITS-90 SPRT calibration from the Ar TP to the Zn FP
Tobias Herman, Michal Chojnacky, Ken Hill, Steffen Rudtsch, Inseok Yang, P. P. M. Steur +14 more
2023· article· en· Metrologia· Engineering
machine prediction:candidate · noneconsensus · none
13
citations
affunlabeled
Principles governing photometry (2nd edition)
Yoshi Ohno, Teresa Goodman, Peter Blattner, J. Schanda, Hiroshi Shitomi, Armin Sperling +1 more
2020· article· en· Metrologia· Engineering
machine prediction:candidate · noneconsensus · none
13
citations
affunlabeled
Classification of cloud scenes by Argus spectral data
Rehan Siddiqui, Rajinder K. Jagpal, N Salem, Brendan M. Quine
2015· article· en· International Journal of Space Science and Engineering· Engineering
machine prediction:candidate · noneconsensus · none
12
citations
afffundno abstractunlabeled
Triple-Point Temperatures of 20Ne and 22Ne
Kathryn Hill, Martin Fahr
2011· article· en· International Journal of Thermophysics· Engineering
machine prediction:candidate · noneconsensus · none
12
citations
affaboutunlabeled
Performances of the SAC-D NIRST flight model radiometer
Mélanie Leclerc, Linda Marchese, Patrice Côté, François Châteauneuf, C. Chevalier, H. G. Marraco +1 more
2009· article· en· Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE· Engineering
machine prediction:candidate · noneconsensus · none
9
citations

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