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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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ACM Transactions on Human-Robot Interaction
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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.

31 results · 1 filter active ·
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20182025
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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.
31 works in the cohort · of 4,299,418page 1 of 1

Labels cover 0 of 31 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 31 of 31 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.

afffundunlabeled
Social Robots for the Care of Persons with Dementia
Moojan Ghafurian, Jesse Hoey, Kerstin Dautenhahn
2021· article· en· ACM Transactions on Human-Robot Interaction· Psychology
machine prediction:candidate · noneconsensus · none
100
citations
afffundunlabeled
Engaging with Robotic Swarms
David St-Onge, Ulysse Côté‐Allard, Kyrre Glette, Benoit Gosselin, Giovanni Beltrame
2019· article· en· ACM Transactions on Human-Robot Interaction· Computer Science
machine prediction:candidate · noneconsensus · none
23
citations
affunlabeled
Robo Ludens
John Edison Muñoz, Kerstin Dautenhahn
2021· article· en· ACM Transactions on Human-Robot Interaction· Psychology
machine prediction:candidate · noneconsensus · none
21
citations
affunlabeled
Curiosity Did Not Kill the Robot
Malcolm Doering, Phoebe Liu, Dylan F. Glas, Takayuki Kanda, Dana Kulić, Hiroshi Ishiguro
2019· article· en· ACM Transactions on Human-Robot Interaction· Psychology
machine prediction:candidate · noneconsensus · none
17
citations
afffundunlabeled
Learning to Engage with Interactive Systems
Lingheng Meng, Daiwei Lin, Adam Francey, Rob Gorbet, Philip Beesley, Dana Kulić
2020· article· en· ACM Transactions on Human-Robot Interaction· Engineering
machine prediction:candidate · noneconsensus · none
8
citations
affunlabeled
Robots Learning to Say “No”
Frank Förster, Joe Saunders, Hagen Lehmann, Chrystopher L. Nehaniv
2019· article· en· ACM Transactions on Human-Robot Interaction· Social Sciences
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
Affective Robots Need Therapy
Paul Bucci, David Marino, Ivan Beschastnikh
2022· article· en· ACM Transactions on Human-Robot Interaction· Psychology
machine prediction:candidate · noneconsensus · none
4
citations
affunlabeled
Designing Authoritative Presence in Social Robots
Yuan-Chia Chang, Daniel J. Rea, Chi-Jung Lee, Takayuki Kanda, Bing‐Yu Chen
2025· article· en· ACM Transactions on Human-Robot Interaction· Psychology
machine prediction:candidate · noneconsensus · none
2
citations

How this was built: Screen · Findings · About