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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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Scientific Computing and Data 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.

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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.

2,034 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.
2,034 works in the cohort · of 4,299,418page 38 of 41

Labels cover 13 of 2,034 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 2,034 of 2,034 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.

aboutno affunlabeled
PKP Sprint 2016: Article-Level Metrics
Alejandra Casas Niño de Rivera
2016· article· Decision Sciences
machine prediction:candidate · metaresearch+bibliometricsconsensus · none
0
citations
aboutno affunlabeled
Your First Spring XD Application
Felipe Gutierrez
2014· book-chapter· en· Apress eBooks· Decision Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
A twosome from Susan Juby
2022· other· en· VIURRSpace (Vancouver Island University)· Decision Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affno abstractunlabeled
MSR System Description - TAC 2016 KBP Cold Start Slof Filling Track.
Rodrigo Nogueira, Taesup Kim, Abdelrahman E. Mohamed, Ahmed Hassan Awadallah, Pushmeet Kohli, Ahmed Tarek Abouelfadl Mohamed
2016· article· en· Theory and applications of categories· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
afffundunlabeled
Ten Simple Rules to build a Model Life Cycle
Timothée Poisot, Daniel J. Becker, Cole Brookson, Ellie Graeden, Sadie J. Ryan, Gemma Turon +1 more
2024· preprint· en· Decision Sciences
machine prediction:candidate · metaresearchconsensus · none
0
citations
affno abstractunlabeled
IWalker: A ‘Real-World’ Molity Assessment Tool
James Tung, William H. Gage, Karl Zabjek, Dina Brooks, Brian E. Maki, Alex Mihailidis +2 more
2007· article· en· CMBES Proceedings· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Provenance Paths
Reda Alhajj, Jon Rokne
2018· book-chapter· en· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
DataCurator
Ben Cardoen, Hanene Ben Yedder, Sieun Lee, Ivan R. Nabi, Ghassan Hamarneh
2023· preprint· en· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
McGill Reddogs
Daniel Sud, Francois Cayouette, Gu Jin Hua, Jeremy R. Cooperstock
2002· article· en· Robot Soccer World Cup· Decision Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Why provenance matters
Michael W. Godfrey
2016· book-chapter· en· Elsevier eBooks· Decision Sciences
machine prediction:candidate · metaresearchconsensus · none
0
citations
aboutno affunlabeled
PKP Sprint 2016: Article-Level Metrics
Alejandra Casas Niño de Rivera
2016· preprint· en· Decision Sciences
machine prediction:candidate · metaresearch+bibliometricsconsensus · none
0
citations
affunlabeled
Journal Data Workflows with ICPSR
2019· article· en· Figshare· Decision Sciences
machine prediction:candidate · scholarly_communicationconsensus · none
0
citations
affunlabeled
Ten simple rules for digital data storage
Edmund Hart, P. Barmby, David LeBauer, François Michonneau, Sarah Mount, Timothée Poisot +3 more
2015· article· en· Decision Sciences
machine prediction:candidate · metaresearchconsensus · none
0
citations
affunlabeled
Data_for_replication.tab
Dieter Stiers, Marc Hooghe, Ruth Dassonneville
2020· dataset· en· Harvard Dataverse· Decision Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Save the Date: PKP Spring 2019 Sprint
Alejandra Casas Niño de Rivera
2019· article· Decision Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Fall 2016 Sprint Report: REST API
Alejandra Casas Niño de Rivera
2016· preprint· en· Decision Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affaboutunlabeled
Reproducibility on a Platter
2019· article· en· Figshare· Decision Sciences
machine prediction:candidate · metaresearchconsensus · none
0
citations
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How this was built: Screen · Findings · About