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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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QR Code Applications and Technologies
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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.

329 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.
329 works in the cohort · of 4,299,418page 5 of 7

Labels cover 0 of 329 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 329 of 329 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.

aboutno affunlabeled
7th Annual RISD Unites Community BBQ
2018· article· en· Digital Commons - RISD (Rhode Island School of Design)· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
St. Catharines Journal
2023· article· en· Brock University Digital Repository (Brock University)· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Optimal Deep  Barcodes for Fast Image Retrieval
Rasa Khosrowshahli, Farnaz Kheiri, Azam Asilian Bidgoli, Hamid R. Tizhoosh, Masoud Makrehchi, Shahryar Rahnamayan
2024· preprint· en· Research Square· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Volume 93 Issue 6, pp. 1253-1556
2007· article· en· Lincoln (University of Nebraska)· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
QRisk: Think Before You Scan QR Codes
Abhishek Mishra, Guillaume Gagnon, Mathieu Cunche, Sébastien Gambs
2025· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
fundno affunlabeled
This is Research; Rice: #LIWYFTTG
2019· other· en· OCAD University Open Research Repository (OCAD University)· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Smart QR-coded Lego device for multiplex bioassays
Xiaoguang Gao, Yuhang Zhang, Zehua Yang, Xuejuan Meng, Xiaochun Li, Hua‐Zhong Yu
2025· article· en· Microchemical Journal· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
afffundaboutunlabeled
Wicket gate lever redesign
2012· other· en· Mspace (University of Manitoba)· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Sociology on the Rock
2024· other· en· The Journal of Macrodynamic Analysis (Memorial University of Newfoundland)· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About