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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.

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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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Advanced Proteomics Techniques and Applications
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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.

1,745 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.
1,745 works in the cohort · of 4,299,418page 9 of 35

Labels cover 4 of 1,745 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 1,745 of 1,745 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
The microbiologist's guide to metaproteomics
Tim Van Den Bossche, Jean Armengaud, Dirk Benndorf, J. Alfredo Blakeley‐Ruiz, Madita Brauer, Kai Cheng +23 more
2025· review· en· iMeta· Chemistry
distilled prediction:candidate · noneconsensus · none
48
citations
afffundunlabeled
The plasma peptides of Alzheimer’s disease
Angelique Florentinus-Mefailoski, Peter Bowden, Philip Scheltens, Joep Killestein, Charlotte E. Teunissen, John Marshall
2021· article· en· Clinical Proteomics· Chemistry
distilled prediction:candidate · noneconsensus · none
47
citations
affunlabeled
Proteome analysis of tissues by mass spectrometry
Irena Đapić, Lucia Baljeu‐Neuman, Naomi Uwugiaren, Jesper Kers, David R. Goodlett, Garry L. Corthals
2019· review· en· Mass Spectrometry Reviews· Chemistry
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · metaepi_narrow
46
citations
fundno affunlabeled
Quality classification of tandem mass spectrometry data
Jussi Salmi, Robert Moulder, Jan‐Jonas Filén, Olli Nevalainen, Tuula A. Nyman, Riitta Lahesmaa +1 more
2005· article· en· Bioinformatics· Chemistry
distilled prediction:candidate · noneconsensus · none
44
citations
affno abstractunlabeled
π-HuB: the proteomic navigator of the human body
Fuchu He, Ruedi Aebersold, Mark S. Baker, Xiu‐Wu Bian, Xiaochen Bo, Daniel W. Chan +151 more
2024· review· en· Nature· Chemistry
distilled prediction:candidate · research_integrityconsensus · research_integrity
44
citations
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