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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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Virtual Reality Applications and Impacts
Retraction
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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 2 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.

affunlabeled
Analysis of the Hands in Egocentric Vision: A Survey
Andrea Bandini, José Zariffa
2020· review· en· IEEE Transactions on Pattern Analysis and Machine Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
106
citations
affunlabeled
Motion sickness: an overview
Alexander K. C. Leung, Kam‐Lun Ellis Hon
2019· review· en· Drugs in Context· Computer Science
machine prediction:candidate · noneconsensus · none
106
citations
venueno affunlabeled
The Importance of the Application of the Metaverse in Education
Gastón Sanglier Contreras, Aurora Hernández González, Ma Inés Serrano Fernández, C.B. Martínez Cepa, Juan Carlos Zuíl Escobar
2022· article· en· Modern Applied Science· Computer Science
machine prediction:candidate · noneconsensus · none
105
citations
affunlabeled
Reflecting on the Design Process for Virtual Reality Applications
Alistair Sutcliffe, Charalambos Poullis, Andreas Gregoriades, Irene Katsouri, Aimilia Tzanavari, Kyriakos Herakleous
2018· article· en· International Journal of Human-Computer Interaction· Computer Science
machine prediction:candidate · noneconsensus · none
101
citations
afffundunlabeled
To Asymmetry and Beyond!
John Harris, Mark Hancock
2019· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
81
citations
afffundunlabeled
You’re Making Me Sick
Cayley MacArthur, Arielle Grinberg, Daniel Harley, Mark Hancock
2021· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
81
citations
venueaboutno affgemma · bibliometricsgpt · bibliometricsmodels split
Virtual Reality in Health Care: Bibliometric Analysis
Christian Matthias Pawassar, Victor Tiberius
2021· article· en· JMIR Serious Games· Computer Science
machine prediction:candidate · bibliometricsconsensus · none
76
citations
affunlabeled
Making virtual walking real
Jan L. Souman, Paolo Robuffo Giordano, Ilja Frissen, Alessandro De Luca, Marc O. Ernst
2010· article· en· ACM Transactions on Applied Perception· Computer Science
machine prediction:candidate · noneconsensus · none
69
citations
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How this was built: Screen · Findings · About