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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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Technology Adoption and User Behaviour
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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
venuejournal
aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

1,648 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.
1,648 works in the cohort · of 4,299,418page 31 of 33

Labels cover 4 of 1,648 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 1,648 of 1,648 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
Consumer Trust in E-Commerce
Benoit Jeanson, John L. Ingham
2011· book-chapter· en· IGI Global eBooks· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
NPA_ref11767
2019· article· en· Zenodo (CERN European Organization for Nuclear Research)· Decision Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Significance of Usability and Accessibility in Cyber-Banking
Md Imran Sarkar, Sadia Sharmin, Mohammad Zahidul Alam, Syeda Farjana Farabi
2025· article· en· Westcliff International Journal of Applied Research· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Buyer Satisfaction
2014· book-chapter· en· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
10.51847/OO8Ax29IXo
2000· article· en· Time to knit· Decision Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affunlabeled
10.51847/j45688o6TY
2000· article· en· Time to knit· Decision Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
ERP Adoption Model and Discussion
Hamidur Rahaman Shibly, ABM Abdullah, Md. Wahid Murad
2022· book-chapter· en· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
The Measurement of Electronic Service Quality
Grégory Bressolles, Jacques Nantel
2010· book-chapter· en· Advances in e-business research series· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Information Systems Effectiveness in Small Businesses
Ana Ortíz de Guinea, Helen Kelley, M. Gordon Hunter
2011· book-chapter· en· Advances in global information management (AGIM) book series· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
E-Commerce Adoption in Developing Countries
Mahmud Akhter Shareef, Yogesh K. Dwivedi, Michael D. Williams, Nitish Singh
2010· book-chapter· en· IGI Global eBooks· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About