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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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Trends in Molecular Medicine
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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.

134 results · 1 filter active ·
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20012025
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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.
134 works in the cohort · of 4,299,418page 3 of 3

Labels cover 0 of 134 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 134 of 134 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.

afffundno abstractunlabeled
Clinical Evaluation of Ebola Virus Disease Therapeutics
Guodong Liu, Gary Wong, Shuo Su, Yuhai Bi, Frank Plummer, George F. Gao +2 more
2017· review· en· Trends in Molecular Medicine· Medicine
machine prediction:candidate · noneconsensus · none
22
citations
affno abstractunlabeled
Gasdermins in pyroptosis, inflammation, and cancer
Rui Min, Yang Bai, Nuoni Wang, Xing Liu
2025· review· en· Trends in Molecular Medicine· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
21
citations
affno abstractunlabeled
BRCA2: breaks, mistakes and failed separations
Teresa Rudkin, William D. Foulkes
2005· review· en· Trends in Molecular Medicine· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
21
citations
afffundno abstractunlabeled
Epigenetic priming in neurodevelopmental disorders
Carl Ernst, Malvin Jefri
2021· review· en· Trends in Molecular Medicine· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
18
citations
affno abstractunlabeled
Darwin's Pangenesis and molecular medicine
Yongsheng Liu, Xiuju Li
2012· article· en· Trends in Molecular Medicine· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
15
citations
afffundno abstractunlabeled
New insights into gut microbiota–prostate cancer crosstalk
Jalal Laaraj, Gabriel Lachance, Alain Bergeron, Yves Fradet, Karine Robitaille, Vincent Fradet
2025· review· en· Trends in Molecular Medicine· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
14
citations
affno abstractunlabeled
Physical activity, cathepsin B, and cognitive health
Qian Yu, Zhihao Zhang, Fabian Herold, Sebastian Ludyga, Jin Kuang, Yanxia Chen +12 more
2025· review· en· Trends in Molecular Medicine· Medicine
machine prediction:candidate · noneconsensus · none
13
citations
afffundno abstractunlabeled
Granzyme B in aging and age-related pathologies
Katlyn C. Richardson, Karen Jung, Joanne A Matsubara, Jonathan C. Choy, David J. Granville
2024· review· en· Trends in Molecular Medicine· Medicine
machine prediction:candidate · noneconsensus · none
12
citations
affno abstractunlabeled
Exon Snipping in Duchenne Muscular Dystrophy
Dwi U. Kemaladewi, Ronald D. Cohn
2016· letter· en· Trends in Molecular Medicine· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
11
citations
afffundno abstractunlabeled
Mistakes Are Common; Should We Worry about Them?
Wendy P. Robinson, Giulia Gobbo
2021· review· en· Trends in Molecular Medicine· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
7
citations
afffundno abstractunlabeled
ILC2s in cancer: good, bad, or stay tuned?
Sara Asif, Megan Kinzel, Barbara C. Vanderhyden, Nicolas Jacquelot, Michele Ardolino
2025· article· en· Trends in Molecular Medicine· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Science around the world
Alessandro Cherubini, David J. Granville, Mana M. Parast, Qi Su
2024· article· en· Trends in Molecular Medicine· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Women in science: bridging gaps in basic sciences
Bhavita Kumari, Narjis Fatima Hussain, Stephen Kennedy, Aris T. Papageorghiou, Jai K Das, Zulfiqar A Bhutta
2025· article· en· Trends in Molecular Medicine· Social Sciences
machine prediction:candidate · metaresearchconsensus · none
1
citations
affno abstractunlabeled
Science around the world
Jeremy P. Burton, Rikke Hahn Kofoed, Ruslan Rust
2024· article· en· Trends in Molecular Medicine· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
iPSC-derived models for anorexia nervosa research
Gilles Maussion, Cecilia Rocha, Nicolás Ramoz
2024· article· en· Trends in Molecular Medicine· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About