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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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Information Retrieval and Search 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
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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.

465 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.
465 works in the cohort · of 4,299,418page 2 of 10

Labels cover 3 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
The effect of task domain on search
Elaine G. Toms, Luanne Freund, Richard Kopak, Joan C. Bartlett
2003· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
45
citations
afffundno abstractunlabeled
Shallow pooling for sparse labels
Negar Arabzadeh, Alexandra Vtyurina, Xinyi Yan, Charles L. A. Clarke
2022· article· en· Information Retrieval· Computer Science
machine prediction:candidate · noneconsensus · none
42
citations
fundno affno abstractunlabeled
Advances in Information Retrieval
2024· book· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
41
citations
afffundunlabeled
Offline Evaluation without Gain
Charles L. A. Clarke, Alexandra Vtyurina, Mark D. Smucker
2020· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
36
citations
fundno affno abstractunlabeled
Looking for Information
Lisa M. Given, Donald O. Case, Rebekah Willson
2023· book· en· Studies in information· Computer Science
machine prediction:candidate · noneconsensus · none
34
citations
affunlabeled
Social search
Michael F. J. McDonnell, Ali Shiri
2011· article· en· Program electronic library and information systems· Computer Science
machine prediction:candidate · noneconsensus · none
30
citations
fundno affunlabeled
Fast ranking in limited space
A. Moffet, Justin Zobel
2002· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
29
citations
affunlabeled
TopPRF
Jun Miao, Jimmy Xiangji Huang, Jiashu Zhao
2016· article· en· ACM Transactions on Information Systems· Computer Science
machine prediction:candidate · noneconsensus · none
29
citations
affunlabeled
Time-Aware Click Model
Yiqun Liu, Xiaohui Xie, Chao Wang, Jian‐Yun Nie, Min Zhang, Shaoping Ma
2016· article· en· ACM Transactions on Information Systems· Computer Science
machine prediction:candidate · noneconsensus · none
28
citations
afffundunlabeled
Time well spent
Charles L. A. Clarke, Mark D. Smucker
2014· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
27
citations
affunlabeled
Bing Chat: The Future of Search Engines?
Dominique Kelly, Yimin Chen, Sarah Cornwell, Nicole S. Delellis, Alex Mayhew, Sodiq Onaolapo +1 more
2023· article· en· Proceedings of the Association for Information Science and Technology· Computer Science
machine prediction:candidate · noneconsensus · none
26
citations
afffundunlabeled
The Role of Domain Knowledge in Search as Learning
Heather L. O'Brien, Andrea Kampen, Amelia W. Cole, Kathleen Patricia Janet Brennan
2020· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
25
citations
fundno affno abstractunlabeled
Efficient distributed selective search
Yubin Kim, Jamie Callan, J. Shane Culpepper, Alistair Moffat
2016· article· en· Information Retrieval· Computer Science
machine prediction:candidate · noneconsensus · none
24
citations
fundno affunlabeled
Learning To Rank Resources
Zhuyun Dai, Yubin Kim, Jamie Callan
2017· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
24
citations
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