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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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Paediatrics & Child Health
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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
fundfunder
venuejournal
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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.

4,779 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.
4,779 works in the cohort · of 4,299,418page 87 of 96

Labels cover 1 of 4,779 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 4,779 of 4,779 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.

affunlabeled
Screening for Fetal Alcohol Spectrum Disorders (FASD)
Carmen Rasmussen, Michael-Anne LaFrance, Kelly Nash, Gail Andrew, Karen Mclachlan, Christine Loock +2 more
2013· article· en· Paediatrics & Child Health· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Case 1: #Molly presents with new-onset seizures
Tanvi Agarwal, Allison Rodrigues, Alène Toulany
2015· article· en· Paediatrics & Child Health· Pharmacology, Toxicology and Pharmaceutics
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Looking at the whole picture...
J Cairns
2001· article· en· Paediatrics & Child Health· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
What the acute care physician needs to know about bioterrorism
Elizabeth Ford-Jones, Martin Petric, Anne Matlow, H. Dele Davies, Margaret Fearon, Monika Naus +2 more
2000· article· en· Paediatrics & Child Health· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
A library in my practice, why not?
Diane Sacks
2002· article· en· Paediatrics & Child Health· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
138 HINIC: Hand Hygiene – Improving NICU Infection Control
Sachin Vidur Pasricha, Chantal R. Valiquette, Megan Singh, Rohini Pasricha, Darwin Jimal, Faiza Khurshid
2019· article· en· Paediatrics & Child Health· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
53 Pediatric Pain: A Network's Approach to Education
SM Moss, Johnson Mt, KE Hayward Murray, JM Trypuc, Shehnaz Alidina
2004· article· en· Paediatrics & Child Health· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Diabetes care in children is complex
Heather Dean, Elizabeth Sellers
2005· article· en· Paediatrics & Child Health· Medicine
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About