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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 3 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
Mobile banking adoption: a systematic review
Nizar Souiden, Riadh Ladhari, Walid Chaouali
2020· review· en· International Journal of Bank Marketing· Decision Sciences
machine prediction:candidate · noneconsensus · none
132
citations
affno abstractunlabeled
Exploring dimensions to online learning
Raafat George Saadé, Xin He, Dennis Kira
2005· article· en· Computers in Human Behavior· Decision Sciences
machine prediction:candidate · noneconsensus · none
131
citations
afffundunlabeled
Consumer trust in e-commerce web sites
Patricia Beatty, Ian Reay, Scott Dick, James Miller
2011· review· en· ACM Computing Surveys· Decision Sciences
machine prediction:candidate · noneconsensus · none
116
citations
affaboutunlabeled
The future of diffusion research
Wynne W. Chin, Barbara L. Marcolin
2001· article· en· ACM SIGMIS Database the DATABASE for Advances in Information Systems· Decision Sciences
machine prediction:candidate · noneconsensus · none
108
citations
affunlabeled
Enhanced Use of IT: A New Perspective on Post-Adoption
Fatou Bagayogo, Liette Lapointe, Geneviève Bassellier
2014· article· en· Journal of the Association for Information Systems· Decision Sciences
machine prediction:candidate · noneconsensus · none
106
citations
fundno affunlabeled
The Determinants of eWoM in Social Commerce
Kamel Rouibah, Nabeel Al-Qirim, Yujong Hwang, Sara Ghasem Pouri
2021· article· en· Journal of Global Information Management· Decision Sciences
machine prediction:candidate · noneconsensus · none
95
citations

How this was built: Screen · Findings · About