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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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Social Media in Health Education
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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.

2,014 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.
2,014 works in the cohort · of 4,299,418page 21 of 41

Labels cover 32 of 2,014 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 2,014 of 2,014 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.

aboutno affunlabeled
Wound communities become a reality
Douglas Queen
2013· editorial· en· International Wound Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
4
citations
aboutno affunlabeled
To Blog or Not to Blog: What Do Nursing Faculty Think?
Krista Jones, Mary Kate Garrity, Kathryn J. Vanderzwan, Iris Epstein, Arlene Burla de la Rocha
2016· article· en· Journal of Nursing Education· Social Sciences
machine prediction:candidate · scholarly_communicationconsensus · none
4
citations
affunlabeled
ALiEM Blog and Podcast Watch: Toxicology
Fareen Zaver, Michael Craddick, Audrey Sanford, Nana Sefa, G. Chad Hughes, Michelle Lin
2017· article· en· Western Journal of Emergency Medicine· Social Sciences
machine prediction:candidate · scholarly_communicationconsensus · none
4
citations
venueno affno abstractunlabeled
Public Relations for Pharmacists 101
Rosemary Killeen
2006· article· en· Canadian Pharmacists Journal / Revue des Pharmaciens du Canada· Social Sciences
machine prediction:candidate · noneconsensus · none
4
citations
affunlabeled
Blogged Nursing
Pedro Ruymán Brito Brito, Martín Rodríguez‐Álvaro, José Manuel Romero‐Sánchez, Azucena Santillán García, Olga Paloma‐Castro, Domingo Ángel Fernández‐Gutiérrez
2015· article· en· CIN Computers Informatics Nursing· Social Sciences
machine prediction:candidate · noneconsensus · none
4
citations
aboutno affunlabeled
Online Reputation Management in Canadian Hospitals
Pablo Medina Aguerrebere, Toni González Pacanowski, Eva Medina
2021· article· en· Zer - Revista de Estudios de Comunicación· Social Sciences
machine prediction:candidate · noneconsensus · none
3
citations
aboutno affunlabeled
DTJournal: Instagram Stories Metrics
Оleksii Tymofieiev, João Monteiro, Ievgen Fesenko
2019· article· en· Journal of Diagnostics and Treatment of Oral and Maxillofacial Pathology· Social Sciences
machine prediction:candidate · noneconsensus · none
3
citations
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How this was built: Screen · Findings · About