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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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Proceedings of the Human Factors and Ergonomics Society Annual Meeting
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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.

672 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.
672 works in the cohort · of 4,299,418page 6 of 14

Labels cover 1 of 672 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 672 of 672 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
Exploiting the Auditory Modality in Decision Support
François Vachon, Sébastien Tremblay, Alastair P. Nicholls, Dylan M. Jones
2011· article· en· Proceedings of the Human Factors and Ergonomics Society Annual Meeting· Psychology
machine prediction:candidate · noneconsensus · none
4
citations
fundno affunlabeled
Adaptive Visualization of Complex Networks with FocalPoint
Catherine Inibhunu, Scott M. Langevin
2016· article· en· Proceedings of the Human Factors and Ergonomics Society Annual Meeting· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
4
citations
affunlabeled
Immersiveness and Perceptibility of Convex and Concave Displays
Mark Chignell, Henrique Matulis, Bella Zhang, Jacqueline Urakami, Shio Miyafuji, Zhengqing Li +1 more
2019· article· en· Proceedings of the Human Factors and Ergonomics Society Annual Meeting· Computer Science
machine prediction:candidate · noneconsensus · none
4
citations
affaboutunlabeled
Information Technology Systems at the sharp end of medication therapy management
Reicelis Casares Li, Rodrigo Arcuri Marques Pereira, Alessandro Jatobá, Mário César Vidal, Paulo Victor Rodrigues de Carvalho, Kelly Grindrod +1 more
2019· article· en· Proceedings of the Human Factors and Ergonomics Society Annual Meeting· Social Sciences
machine prediction:candidate · noneconsensus · none
4
citations
affunlabeled
Indices of Muscle Fatigue
Shrawan Kumar, Tyler Amell, Yogesh Narayan, Narsimah Prasad
2002· article· en· Proceedings of the Human Factors and Ergonomics Society Annual Meeting· Engineering
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Fork in the Road
Nicholas Kelling, Ryan Z. Amick, Gregory M. Corso, Christy Harper, Andrew Muddimer, S. Camille Peres
2016· article· en· Proceedings of the Human Factors and Ergonomics Society Annual Meeting· Medicine
machine prediction:candidate · noneconsensus · none
3
citations
affaboutunlabeled
Critical Issues in Driving Simulation Methods and Measures
Jeff K. Caird, Matthew Rizzo, Peter A. Hancock
2004· article· en· Proceedings of the Human Factors and Ergonomics Society Annual Meeting· Engineering
machine prediction:candidate · metaresearchconsensus · none
3
citations
affunlabeled
Time-To-Contact Estimates for Observer versus Target Motion
Richard P. Grutzmacher, George A. Geri, Byron J. Pierce
2000· article· en· Proceedings of the Human Factors and Ergonomics Society Annual Meeting· Engineering
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Dynamic Cognitive Task Modeling of Complexity Discovery
G. Jean-François, Patrick Jeuniaux, Sébastien Tremblay
2011· article· en· Proceedings of the Human Factors and Ergonomics Society Annual Meeting· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Advantage for Visual Momentum Not Based on Preview
Justin G. Hollands, Nada Pavlovic, Yukari Enomoto, Haiying Jiang
2004· article· en· Proceedings of the Human Factors and Ergonomics Society Annual Meeting· Engineering
machine prediction:candidate · noneconsensus · none
3
citations

How this was built: Screen · Findings · About