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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.

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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 31 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.

affno abstractgemma · bibliometricsgpt · bibliometricsmodels split
Experiential Learning Using AR-VR: A Scientometric Analysis
M. A. G. Khan, Muhammad Haris, Jennifer A. Cardenas, Muhammad Tufail, Xinming Li, Rafiq Ahmad
2025· book-chapter· en· Lecture notes in networks and systems· Computer Science
machine prediction:candidate · bibliometricsconsensus · none
0
citations
affno abstractunlabeled
Do I Trust you or your Avatar? An Experimental Study
Vivianna Fang He, Daniel Landau, Ithai Stern, Bart Vanneste
2023· article· en· SSRN Electronic Journal· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
fundno affno abstractunlabeled
Bases neurologiques du phénomène de masquage visuel
Sébastien Marti
2007· dissertation· fr· Papyrus : Institutional Repository (Université de Montréal)· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Perspective-Aware AI in Extended Reality
Daniel Platnick, Matti Gruener, Marjan Alirezaie, Kent Larson, Dava J. Newman, Hossein Rahnama
2025· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Simulacrum Culture
Marcel Danesi
2024· book-chapter· en· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Learning by Doing
Frédéric Dubois, Lena Thiele
2022· article· en· Interactive Film and Media Journal· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Q&A with IRYStec
Jenny Donelan
2017· article· en· Information Display· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations

How this was built: Screen · Findings · About