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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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Families Systems & Health
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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.

44 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.
44 works in the cohort · of 4,299,418page 1 of 1

Labels cover 0 of 44 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 44 of 44 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
Mental illness: Is there an app for that?
David Gratzer, Gillian Strudwick, Anthony T. Yeung
2019· article· en· Families Systems & Health· Psychology
distilled prediction:candidate · insufficient_payloadconsensus · none
5
citations
affunlabeled
A recipe for assessing fidelity in family and health systems.
Jodi Polaha, Justin D. Smith, Nadiya Sunderji
2019· editorial· en· Families Systems & Health· Health Professions
distilled prediction:candidate · metaresearch+metaepi_narrow+sts+research_integrityconsensus · research_integrity
4
citations
affunlabeled
Evaluating time in health care: What are we busy about?
Jodi Polaha, Jesse M. Hinde, Gregory P. Beehler, Nadiya Sunderji
2019· article· en· Families Systems & Health· Health Professions
distilled prediction:candidate · metaepi_narrow+sts+insufficient_payloadconsensus · none
2
citations
affunlabeled
Patient access: How do we measure it?
Jodi Polaha, Nadiya Sunderji
2019· editorial· en· Families Systems & Health· Economics, Econometrics and Finance
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
1
citations
aboutno affunlabeled
When one is the other.
Gurvir Singh
2023· article· en· Families Systems & Health· Health Professions
distilled prediction:candidate · sts+insufficient_payloadconsensus · none
0
citations
affaboutunlabeled
Life of a Type 1 diabetic.
Audrey Kilbreath
2024· article· en· Families Systems & Health· Medicine
distilled prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Knowing.
Amy Basilious
2024· article· en· Families Systems & Health· Psychology
distilled prediction:candidate · insufficient_payloadconsensus · none
0
citations

How this was built: Screen · Findings · About