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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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Bioanalysis
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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.

112 results · 1 filter active ·
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20092025
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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.
112 works in the cohort · of 4,299,418page 3 of 3

Labels cover 1 of 112 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 112 of 112 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
Paper-Based Applications for Bacteria/Virus
Sumin Han, Manika Chopra, Ilaria Rubino, Hyo‐Jick Choi
2020· book-chapter· en· Bioanalysis· Engineering
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
17th GCC Closed Forum: Integrative Bioanalysis, Patient-centric Sampling, Emerging Technologies, Data Integrity, Sample Reconciliation, Discrepancies of ELISpot Data, Cross-validation Harmonization, Ultrasensitive Platforms for ADA Assays, Remote Regulatory Assessments, Shedding Assays by PCR, and Biomarker Tissue Assays
Jennifer Zimmer, Mark Odell, Amanda Hays, Shashank Gorityala, Magdalena Tary‐Lehmann, Manisha R. Diaz +37 more
2025· article· en· Bioanalysis· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
From Low- to High-Throughput Analysis
Ann Lévesque, Sofi Gagnon-Carignan, Sylvain Lachance
2015· review· en· Bioanalysis· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About