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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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Sensor Technology and Measurement Systems
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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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aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

426 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
426 works in the cohort · of 4,299,418page 3 of 9

Labels cover 1 of 426 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 426 of 426 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
Power Spectral Density
D. Sundararajan
2024· book-chapter· en· Digital Signal Processing· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Electronics
Miodrag Bolić
2023· book-chapter· en· Elsevier eBooks· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
3
citations
affunlabeled
IEEE Journal on Selected Areas in Communications
Khaled B. Letaief, Raouf Boutaba, David Sheraton, J Bruttin, J Milizzo, Chen Chen +38 more
2019· article· en· IEEE Journal on Selected Areas in Communications· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
2
citations
affunlabeled
IEEE Journal on Selected Areas in Communications
Khaled B. Letaief, Raouf Boutaba, David Sheraton, J Bruttin, J Milizzo, Chen Chen +38 more
2019· article· en· IEEE Journal on Selected Areas in Communications· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
2
citations
affunlabeled
Advances in Imaging and Sensing
Shuo Tang, Krzysztof Iniewski, Daryoosh Saeedkia
2016· book· en· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
fundno affno abstractunlabeled
IEEE Sensors Journal Publication Information
2023· article· ru· IEEE Sensors Journal· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
2
citations
aboutno affunlabeled
Reconsidering the fundamentals
Alessandro Ferrero
2008· article· en· IEEE Instrumentation & Measurement Magazine· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
aboutno affunlabeled
Multi Sensor Block Adjustment
Th Toutin, R Chénier, Y Carbonneau
2003· report· en· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
fundno affno abstractunlabeled
IEEE Sensors Journal Publication Information
2023· article· ru· IEEE Sensors Journal· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
1
citations
affunlabeled
IEEE Journal on Selected Areas in Communications
Khaled B. Letaief, Raouf Boutaba, David Sheraton, J Bruttin, J Milizzo, Chen Chen +38 more
2019· article· en· IEEE Journal on Selected Areas in Communications· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
1
citations

How this was built: Screen · Findings · About