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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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Microbial infections and disease research
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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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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.

1,309 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.
1,309 works in the cohort · of 4,299,418page 24 of 27

Labels cover 2 of 1,309 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 1,309 of 1,309 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.

venueno affno abstractunlabeled
10.1016/s1166-8598(20)30254-4
2000· article· en· Time to knit· Immunology and Microbiology
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Mycoplasma
John H. Duffus, Michael Schwenk, Douglas M. Templeton
2017· dataset· en· IUPAC Standards Online· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Pathology in Practice
Carmon Co, Cédric B. Larouche, Ellie L. Milnes, Pauline Delnatte, Leonardo Susta
2022· article· en· Journal of the American Veterinary Medical Association· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
ral
2016· article· en· Immunology and Microbiology
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Myotis riparius Handley 1960
2005· article· en· Zenodo (CERN European Organization for Nuclear Research)· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Additional file 1: of Enhancing the one health initiative by using whole genome sequencing to monitor antimicrobial resistance of animal pathogens: Vet-LIRN collaborative project with veterinary diagnostic laboratories in United States and Canada
Olgica Cerić, Gregory H. Tyson, Laura B. Goodman, Patrick K. Mitchell, Yan Zhang, Melanie Prarat +38 more
2019· dataset· en· Figshare· Immunology and Microbiology
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Tracking Inhomogeneously Distributed Particles
Javier Mazzaferri, Stéphane Lefrançois, Santiago Costantino
2014· article· en· Biophysical Journal· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
An unusual cervical mass
Lise Bondy, B. John Hynes, Rachel Christner
2019· article· en· Journal of the Association of Medical Microbiology and Infectious Disease Canada· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
History of equine rhinopneumonia research
Alexey Popov, М. П. Неустроев, S. A. Vasil'eva
2024· article· en· Siberian Herald of Agricultural Science· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About