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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
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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.

1,648 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 7 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 teacher distillation outputs. Candidate is the union; consensus is the intersection.

affaboutunlabeled
How they manage IT
Ali Reza Montazemi
2006· article· en· Communications of the ACM· Decision Sciences
distilled prediction:candidate · metaresearch+open_scienceconsensus · open_science
36
citations
venueno affunlabeled
Continuance intention to use smartwatches: An empirical study
Ahmad A. Rabaa’i, Enas Al‐Lozi, Qais Hammouri, Nooh Bany Muhammad, Ayman Abdalmajeed Alsmadi, Jassim Ahmad Al-Gasawneh
2022· article· en· International Journal of Data and Network Science· Decision Sciences
distilled prediction:candidate · noneconsensus · none
36
citations
venueno affunlabeled
Technology Acceptance in e-Governance: A Case of a Finance Organization
Fatemeh Mohammad Ebrahimzadeh Sepasgozar, Usef Ramzani, Sabbar Ebrahimzadeh, Sharifeh Sargolzae, Samad M. E. Sepasgozar
2020· article· en· Journal of risk and financial management· Decision Sciences
distilled prediction:candidate · noneconsensus · none
32
citations
venueno affunlabeled
Why do University Teachers use E-Learning Systems?
Puong Koh Hii, Amran Rasli
2020· article· en· The International Review of Research in Open and Distributed Learning· Decision Sciences
distilled prediction:candidate · metaresearchconsensus · none
31
citations
aboutno affunlabeled
E-Commerce Adoption in SMEs: A Literature Review
Yoga Religia, Surachman Surachman, Fatchur Rohman, Nur Khusniyah Indrawati
2021· review· en· Decision Sciences
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
30
citations

How this was built: Screen · Findings · About