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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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Personal Information Management and User Behavior
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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
fundfunder
venuejournal
aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

465 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
465 works in the cohort · of 4,299,418page 7 of 10

Labels cover 5 of 465 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 465 of 465 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
Personality Perception A1
2021· other· en· Open Science Framework· Decision Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Toward Appreciative Engagements with Slideware
Catherine Adams
2007· article· en· EdMedia: World Conference on Educational Media and Technology· Decision Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affvenueunlabeled
Virtual Communities: A Global Resource
Shawna Hellenius, Ann Curry
2013· article· en· Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI· Decision Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
The Role of Serendipity in Digital Environments
Anabel Quan‐Haase, Jacquelyn Burkell, Victoria L. Rubin
2014· book-chapter· en· Advances in information quality and management· Decision Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Does Teaming up Make You Less Vulnerable to Task Interruption?
Sébastien Tremblay, François Vachon, Daniel Lafond, Helen M. Hodgetts
2010· article· en· Proceedings of the Human Factors and Ergonomics Society Annual Meeting· Decision Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
SweatSponse
Pascal E. Fortin, Elisabeth Sulmont, Jeremy R. Cooperstock
2018· article· en· Decision Sciences
machine prediction:candidate · noneconsensus · none
1
citations
fundno affno abstractunlabeled
Using the iCat as Avatar in Remote Meetings
Dirk Heylen, Mannes Poel, Anton Nijholt
2009· book-chapter· en· Lecture notes in computer science· Decision Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
User Control over User Adaptation: A Case Study
Xiaoyan Peng, Daniel Silver
2005· book-chapter· en· Lecture notes in computer science· Decision Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Exploring Content Concealment in Email
Lucas Betts, Robert Biddle, Danielle Lottridge, Giovanni Russello
2024· article· en· Decision Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Life and Death in the Information Society
Jesse David Dinneen, Maja Krtalić, Nilou Davoudi, Helene Hellmich, Catharina Ochsner, Paulina Bressel
2024· article· en· SSRN Electronic Journal· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
RefWorks Tricks and Tips
2013· other· en· The Atrium (University of Guelph)· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About