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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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Parasitic Diseases Research and Treatment
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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venuejournal
aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

490 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.
490 works in the cohort · of 4,299,418page 8 of 10

Labels cover 1 of 490 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 490 of 490 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
Genital Filariasis Review
Tarek Hassouna, Mai Banakhar, M. A. L. Hassouna
2013· article· en· Current Bladder Dysfunction Reports· Medicine
machine prediction:candidate · noneconsensus · none
1
citations
fundno affunlabeled
Testimony as Joint Activity
2023· book· en· PhilPapers (PhilPapers Foundation)· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Trichinellosis & Heart
Melissa Tso, Kiera Liblik, Juan Farina, Adrián Baranchuk
2021· book-chapter· en· Elsevier eBooks· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/b978-0-443-10303-2.50054-0
2000· book-chapter· en· Time to knit· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
10.1016/s1166-8598(22)44962-3
2000· article· en· Time to knit· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Eusimulium Roubaud
2015· article· en· Zenodo (CERN European Organization for Nuclear Research)· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Spirocerca lupi in the ovary of a dog
R. Sreeranjani, P. Anbarasi, K. Senthilvel, N. Rani
2024· article· en· Journal of Veterinary Parasitology· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Microfilaria in breast: Case Report
Vijay P Agrawal, Nitin Wasnik, Kunal Ray, Jetendra Yede, Arpit Gupta
2014· article· en· International Journal of Biomedical and Advance Research· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/s1166-8598(20)30210-6
2000· article· en· Time to knit· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
10.1016/s1166-8598(20)30138-1
2000· article· en· Time to knit· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Dermacentor variabilis
2023· article· en· Zenodo (CERN European Organization for Nuclear Research)· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Simulium (Hearlea) canadense Hearle
2004· article· en· Zenodo (CERN European Organization for Nuclear Research)· Medicine
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About