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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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Big Data and Business Intelligence
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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.

1,633 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.
1,633 works in the cohort · of 4,299,418page 22 of 33

Labels cover 10 of 1,633 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 1,633 of 1,633 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
Open access press vs traditional university presses on Amazon
Rory McGreal, Edward Acqua
2010· article· en· RECERCAT (Consorci de Serveis Universitaris de Catalunya)· Business, Management and Accounting
machine prediction:candidate · scholarly_communication+open_scienceconsensus · none
0
citations
fundno affunlabeled
Front matters
2014· paratext· en· Business, Management and Accounting
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Ontology Support for Healthcare IoT
Alaa Alsaig, Ammar Alsaig, Yang Liu, Vangalur Alagar
2024· article· en· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Overcommitment
Niyousha Raeesinejad, Yousef Mehrdad Bibalan, Mohammad Moshirpour
2023· book-chapter· en· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
of Technology and Software Use
2008· article· en· Business, Management and Accounting
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Detection of Events
Rangaraj M. Rangayyan, Sridhar Krishnan
2024· other· en· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Data Analytics of Library Resources
Debashish Roy
2021· preprint· en· Business, Management and Accounting
machine prediction:candidate · bibliometricsconsensus · none
0
citations
affunlabeled
Cloud Based Network Management Services
Srutha Keerthi Varala, Abdul Irfan Mohammad, Jinan Fiaidhi
2020· preprint· en· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Data Analytics of Library Resources
Debashish Roy
2021· preprint· en· Business, Management and Accounting
machine prediction:candidate · bibliometricsconsensus · none
0
citations
affunlabeled
Hacking for Good - Workshop Summary
Alex Humphreys, Curtis Michelson, Heather Staines, Geoffrey P. Timms, Caroline Muglia
2020· article· en· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About