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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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Virtual Reality Applications and Impacts
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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.

1,654 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.
1,654 works in the cohort · of 4,299,418page 29 of 34

Labels cover 5 of 1,654 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 1,654 of 1,654 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
Services de santé mentale en Australie
2014· article· en· Queensland's institutional digital repository (The University of Queensland)· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Ready, Teacher One
2021· dissertation· en· e-scholar@UOIT (University of Ontario Institute of Technology)· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Ranking Realism in Mixed Reality
Eric DeMarbre, Robert J. Teather
2024· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Creating a Multi-Sensory Horror Experience with VR
D.F. Cole, Mackenzie Darling, Ryan Clement, Dexter Hunter Laroche, Samuelle Lamoureux, Brendan O’Malley +1 more
2024· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Education: Form@tox: Online Addiction Training
Anne Pelet, C. Bochud, Barbara Broers, Chelsea Ritter, Dominique Eich, Isabelle Gothuey +5 more
2009· article· en· The Canadian Journal of Addiction· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Occurrence Download
2025· dataset· en· Global Biodiversity Information Facility· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Au-delà de l'utilisabilité
Annemarie Lesage, Tomás Dorta
2008· article· fr· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Waypoint-based Human Navigation using Multiple Laser Projection Suit
Sandeep Kumar Nayak, Kazunori Ohno, Ryoichiro Tamura, Kotaro SATO, Satoshı Tadokoro
2021· article· en· The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Top-Rated LABS Abstracts 2022
Alejandro Albornoz Rojas, Rogério Augusto Bordini, Cândida Luiza Borges da Silva, Alexis Story Crawshaw, Yuxiang Dong, Majli af Ekenstam +8 more
2023· article· en· Leonardo· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Virtual Reality-Based MRI Simulator
Michael T. Doswell, Navjot Kehal, Bryan Le, Michael Yu
2025· article· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Agathidium parile Fall 1934
2004· article· en· Zenodo (CERN European Organization for Nuclear Research)· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About