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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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Journal of Mixed Methods Research
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Retraction
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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.

43 results · 1 filter active ·
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20082025
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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.
43 works in the cohort · of 4,299,418page 1 of 1

Labels cover 5 of 43 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 43 of 43 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.

afffundunlabeled
Investigator Triangulation
Mandy M. Archibald
2015· article· en· Journal of Mixed Methods Research· Health Professions
machine prediction:candidate · metaresearchconsensus · metaresearch
350
citations
affunlabeled
Unexpected but Most Welcome
Pierre‐Marc Daigneault, Steve Jacob
2013· article· en· Journal of Mixed Methods Research· Decision Sciences
machine prediction:candidate · noneconsensus · none
40
citations
affgemma · metaresearchgpt · metaresearch+metaepi_broadmodels split
Systematic Reviews of Systematic Quantitative, Qualitative, and Mixed Studies Reviews in Healthcare Research: How to Assess the Methodological Quality of Included Reviews?
Geneviève Rouleau, Quan Nha Hong, Navdeep Kaur, Marie‐Pierre Gagnon, José Côté, Julien Bouix‐Picasso +1 more
2021· article· en· Journal of Mixed Methods Research· Decision Sciences
machine prediction:candidate · metaresearch+metaepi_broadconsensus · metaresearch
10
citations
affno abstractunlabeled
Media Review: Mixed Methods Research
Cheryl Poth, Augustine Aboagye Botwe
2023· article· en· Journal of Mixed Methods Research· Decision Sciences
machine prediction:candidate · metaresearchconsensus · metaresearch
1
citations
affno abstractunlabeled
Honoring the Legacy of Pierre Pluye
Quan Nha Hong, Vera Granikov, Reem El Sherif, Paula Louise Bush, Mathieu Bujold, Araceli Gonzalez‐Reyes +1 more
2023· article· en· Journal of Mixed Methods Research· Neuroscience
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About