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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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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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Journal of Interdisciplinary Science Topics
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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.

25 results · 1 filter active ·
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20142019
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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.
25 works in the cohort · of 4,299,418page 1 of 1

Labels cover 0 of 25 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 25 of 25 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 Fastest Man Alive” – but how?
Dilshan Pieris
2018· article· en· Journal of Interdisciplinary Science Topics· Neuroscience
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
The Shocking Truth about E.T's Fly High
Hannah Mahoney
2019· article· en· Journal of Interdisciplinary Science Topics· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Can the Flash Warp Time
Bryce Norman
2017· article· en· Journal of Interdisciplinary Science Topics· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Renewable Energy in the Nation of Panem
J. Lai
2015· article· en· Journal of Interdisciplinary Science Topics· Engineering
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
The Big Fat Lie About Burning Fat
Emma Butcher
2014· article· en· Journal of Interdisciplinary Science Topics· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Evaluating The Core: The prospect of geodes
Kira B. Moor, Rebekah Ingram
2014· article· en· Journal of Interdisciplinary Science Topics· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
What Would the World Be Like to a Borrower
Jonathan Panuelos, Laura H. Green
2016· article· en· Journal of Interdisciplinary Science Topics· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
The Great Canadian Maple Syrup Consumption
Christopher Chan, Elizabeth O'Meara
2019· article· en· Journal of Interdisciplinary Science Topics· Chemistry
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Powers of Poison: The Science behind Sherlock
Nicole Lindsay‐Mosher, Katie Maloney
2014· article· en· Journal of Interdisciplinary Science Topics· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Does Anna Have a Frozen Heart
Dakota M. Binkley, Lindsey A. Carfrae
2015· article· en· Journal of Interdisciplinary Science Topics· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About