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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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Childhood Cancer Survivors' Quality of Life
Retraction
Abstract
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Study design
Label agreement
Label status

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.

3,427 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
3,427 works in the cohort · of 4,299,418page 37 of 69

Labels cover 11 of 3,427 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 3,427 of 3,427 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.

affno abstractunlabeled
SIOP Strategy 2021–2025: Cure for more, care for all
Kathy Pritchard‐Jones, Julia Challinor, Stephen P. Hunger, Lillian Sung, Alan Davidson, Lisa Morrissey +9 more
2022· article· en· Pediatric Blood & Cancer· Medicine
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
Inequities in childhood cancer research: A scoping review
Jean Hunleth, Sarah Burack, Lindsey Kaufman, Caroline Mohrmann, Thembekile Shato, Eric M. Wiedenman +1 more
2024· review· en· EJC Paediatric Oncology· Medicine
machine prediction:candidate · metaresearchconsensus · none
6
citations
affunlabeled
“I’m With my People!”
Maru Barrera, Kelly Hancock, Ute Bartels, Aden Solomon, Léandra Desjardins
2020· article· en· Cancer Nursing· Medicine
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
Sports and childhood brain tumors: Can I play?
Sébastien Perreault, Robert M. Lober, Carissa Davis, Christopher D Stave, Sonia Partap, Paul G. Fisher
2014· article· en· Neuro-Oncology Practice· Medicine
machine prediction:candidate · noneconsensus · none
6
citations
aboutno affunlabeled
Fatigue among parents caring for a child with cancer
Iwona Repka, Patrycja Betka, Ilona Kuźmicz, Grażyna Puto, Patrycja Zurzycka
2019· article· en· Medycyna Paliatywna· Medicine
machine prediction:candidate · noneconsensus · none
5
citations

How this was built: Screen · Findings · About