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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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Data Quality and Management
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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.

867 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.
867 works in the cohort · of 4,299,418page 6 of 18

Labels cover 10 of 867 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 867 of 867 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
The Challenge of Test Data Quality in Data Processing
Christoph Becker, Kresimir Duretec, Andreas Rauber
2017· article· en· Journal of Data and Information Quality· Decision Sciences
machine prediction:candidate · metaresearchconsensus · none
8
citations
affno abstractunlabeled
A Data Commons for Food Security
B Meghan, Jeremy de Beer
2017· article· pl· SSRN Electronic Journal· Decision Sciences
machine prediction:candidate · open_scienceconsensus · none
7
citations
venueno affunlabeled
The TALP participation at TAC-KBP 2012
Edgar Gonzàlez Pellicer, Horacio Rodríguez Hontoria, Jorge Turmo Borras, Pere Ramon Comas Umbert, Ali Naderi, Alicia Ageno +3 more
2012· article· en· Theory and applications of categories· Decision Sciences
machine prediction:candidate · noneconsensus · none
7
citations
affunlabeled
Efficiently Transforming Tables for Joinability
Arash Nobari, Davood Rafiei
2022· article· en· 2022 IEEE 38th International Conference on Data Engineering (ICDE)· Decision Sciences
machine prediction:candidate · noneconsensus · none
7
citations
fundno affunlabeled
Reflections on the Concept of Open Data
Edward S. Dove
2015· article· en· SCRIPTed A Journal of Law Technology & Society· Decision Sciences
machine prediction:candidate · open_scienceconsensus · none
6
citations
affno abstractunlabeled
Information Ecology to Map the Arctic Information Ecosystem
Peter Pulsifer, Y. Y. Kontar, Paul Arthur Berkman, D. R. Fraser Taylor
2020· book-chapter· en· Informed decisionmaking for sustainability· Decision Sciences
machine prediction:candidate · scholarly_communicationconsensus · none
6
citations
afffundunlabeled
Unifying Data and Constraint Repairs
Fei Chiang, Siddharth Sitaramachandran
2016· article· en· Journal of Data and Information Quality· Decision Sciences
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
Record Linkage in Healthcare
Gulzar H. Shah, Kaveepan Lertwachara, Anteneh Ayanso
2010· article· en· International Journal of Healthcare Delivery Reform Initiatives· Decision Sciences
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
Entity Matching with AUC-Based Fairness
Soudeh Nilforoushan, Qianfan Wu, Mostafa Milani
2022· article· en· 2022 IEEE International Conference on Big Data (Big Data)· Decision Sciences
machine prediction:candidate · noneconsensus · none
6
citations
affno abstractunlabeled
A Scoping Review on Data Governance
Melanie McCaig, Davar Rezania
2021· review· en· SSRN Electronic Journal· Decision Sciences
machine prediction:candidate · noneconsensus · none
6
citations
afffundaboutunlabeled
An Overview of the BALSAC Population Database.
Hélène Vézina, Jean‐Sébastien Bournival
2023· book-chapter· en· Radboud University Press eBooks· Decision Sciences
machine prediction:candidate · noneconsensus · none
5
citations

How this was built: Screen · Findings · About