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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 Mining Algorithms and Applications
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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.

1,100 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.
1,100 works in the cohort · of 4,299,418page 19 of 22

Labels cover 1 of 1,100 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 1,100 of 1,100 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

aboutno affunlabeled
Product-Driven Data Mining
C. Sean Bohun
2003· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Search and Querying Social Data
Reda Alhajj, Jon Rokne
2018· book-chapter· en· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
More on the case for open data
Peter Suber
2006· preprint· en· Computer Science
distilled prediction:candidate · scholarly_communication+open_scienceconsensus · open_science
0
citations
affunlabeled
Random Trees
Ellen Baake, Donald A. Dawson, Andreas Greven
2009· article· en· Oberwolfach Reports· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Query Segmentation
Reda Alhajj, Jon Rokne
2014· book-chapter· en· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Preference-Based Frequent Pattern Mining
Moonjung Cho, Jian Pei, Haixun Wang, Wei Wang
2008· book-chapter· en· IGI Global eBooks· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
affunlabeled
Process-Based Data Mining
Karim K. Hirji
2005· book-chapter· en· IGI Global eBooks· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
affunlabeled
Polymorphic panelists
Byron Weber Becker, Richard Rasala, Joseph Bergin, Christine Shannon, Eugene Wallingford
2001· article· en· ACM SIGCSE Bulletin· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Process-Based Data Mining
Karim K. Hirji
2009· book-chapter· en· IGI Global eBooks· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
affunlabeled
Sheep pseudoDB: simulated database of sheep genetic variants
Sunhee Kim, Hyeonjung Lee, Chang-Yong Lee
2022· dataset· en· Zenodo (CERN European Organization for Nuclear Research)· Computer Science
distilled prediction:candidate · metaepi_narrow+sts+open_science+insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Profit Mining
Senqiang Zhou
2009· book-chapter· en· IGI Global eBooks· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
affno abstractunlabeled
Mining Time-Evolving Graphs
Reda Alhajj, Jon Rokne
2018· book-chapter· en· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Query Log Analysis
Reda Alhajj, Jon Rokne
2018· book-chapter· en· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
fundno affunlabeled
Discovering frequent patterns guided by an ontology
Yaya Traoré, Cheikh Talibouya Diop, Sadouanouan Malo, Moussa Lô, Stanislas Ouaro
2016· article· fr· Revue Africaine de la Recherche en Informatique et Mathématiques Appliquées· Computer Science
distilled prediction:candidate · metaepi_narrow+research_integrityconsensus · none
0
citations
affunlabeled
Introduction to MySQL with R
Jeff Blackadar
2018· article· en· DOAJ (DOAJ: Directory of Open Access Journals)· Computer Science
distilled prediction:candidate · scholarly_communication+insufficient_payloadconsensus · none
0
citations
affunlabeled
On Explanation-Oriented Data Mining
Yiyu Yao
2009· book-chapter· en· IGI Global eBooks· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
affno abstractunlabeled
Introduction: Special Issue on Open Source Intelligence and Web Mining
Nasrullah Memon, Uffe Kock Wiil, R. Alhajj
2011· article· en· University of Southern Denmark Research Portal (University of Southern Denmark)· Computer Science
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
A Note on Probability Trees
W. J. Hurley
2007· article· en· Journal of Modern Applied Statistical Methods· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations

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