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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.

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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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Mental Health via Writing
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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.

643 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.
643 works in the cohort · of 4,299,418page 5 of 13

Labels cover 5 of 643 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 643 of 643 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affno abstractunlabeled
Emotional processing in an expressive writing task on trauma
Shawn J. Harrington, Orrin-Porter Morrison, Antonio Pascual‐Leone
2018· article· en· Complementary Therapies in Clinical Practice· Psychology
distilled prediction:candidate · insufficient_payloadconsensus · none
13
citations
affno abstractunlabeled
A Template Analysis of Writing Self-Efficacy Measures
Kim Mitchell, Kendra L. Rieger, Diana E. McMillan
2017· review· en· Journal of Nursing Measurement· Psychology
distilled prediction:candidate · metaepi_narrowconsensus · none
13
citations
venueno affunlabeled
Objectively Quantifying Pediatric Psychiatric Severity Using Artificial Intelligence, Voice Recognition Technology, and Universal Emotions: Pilot Study for Artificial Intelligence-Enabled Innovation to Address Youth Mental Health Crisis
Desmond Caulley, Yared Alemu, Sedara Burson, Elizabeth Cárdenas Bautista, Girmaw Abebe Tadesse, Christopher Kottmyer +3 more
2023· article· en· JMIR Research Protocols· Psychology
distilled prediction:candidate · metaepi_narrow+stsconsensus · none
12
citations
affunlabeled
Using Twitter-Based Data for Sexual Violence Research: Scoping Review
Jia Xue, Bolun Zhang, Qiaoru Zhang, Ran Hu, Jielin Jiang, Nian Liu +3 more
2023· article· en· Journal of Medical Internet Research· Psychology
distilled prediction:candidate · metaresearch+research_integrity+insufficient_payloadconsensus · metaresearch
10
citations
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How this was built: Screen · Findings · About