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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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Impact of Technology on Adolescents
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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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venuejournal
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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.

2,105 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.
2,105 works in the cohort · of 4,299,418page 30 of 43

Labels cover 6 of 2,105 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 2,105 of 2,105 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.

venueno affunlabeled
10.51847/Ecf9wtp2o5
2000· article· en· Time to knit· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
1
citations
affunlabeled
Facebook Study Results
Maria Leena Korpijaakko
2015· book-chapter· es· SensePublishers eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Is SMS APPropriate?
Erin Walsh, Jay K. Brinker
2016· article· en· European Journal of Psychological Assessment· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Clinical Topics in Social Media
Jessica J. Joseph, Diana Florea
2022· book-chapter· en· IGI Global eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Internet addiction: issues and concerns
Helal Uddin Ahmed
2023· article· en· Bangladesh Journal of Medicine· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
The Influence of Influencers
2022· article· en· Figshare· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
The Influence of Influencers
2022· preprint· en· University of the Arts London Research Online (University of the Arts London)· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
The development of the FineTune app
Sivan Black-Rotchin, Walcir Cardoso
2022· book-chapter· en· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About