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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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Advanced Measurement and Detection Methods
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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.

214 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.
214 works in the cohort · of 4,299,418page 2 of 5

Labels cover 0 of 214 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 214 of 214 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.

venueno affno abstractunlabeled
AN OPTICAL DEVICE FOR CLOSE OBJECT DETECTION
Mitsuharu Matsumoto, Shuji Hashimoto
2011· article· en· International Journal of Robotics and Automation· Engineering
machine prediction:candidate · noneconsensus · none
1
citations
affaboutunlabeled
DEVELOPMENT OF THE BRICAN TD100 SMALL UAS AND PAYLOAD TRIALS
B. Eggleston, Brian McLuckie, William R. Koski, David M. Bird, C. Patterson, Denys Bohdanov +3 more
2015· article· en· ˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences· Engineering
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Remote Sensing of in Use Heavy Duty Diesel Vehicles
Daniel A. Burgard, Gary A. Bishop, Donald H. Stedman, Viktoria H. Gessner, Christian Daeschlein
2006· article· en· Sound Ideas (University of Puget Sound)· Engineering
machine prediction:candidate · noneconsensus · none
1
citations
venueno affno abstractunlabeled
10.1016/b978-0-08-048052-7.50010-8
2000· book-chapter· en· Time to knit· Engineering
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
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