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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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Advanced Proteomics Techniques and Applications
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
fundfunder
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.

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 34 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. 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.

affunlabeled
Mass Spectrometry: An Outsourcing Guide
Leroi V. DeSouza, K. W. Michael Siu, Ronald E. Pearlman
2009· article· en· Current Protocols Essential Laboratory Techniques· Chemistry
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Proteomics
Monica Nordberg, John H. Duffus, Douglas M. Templeton
2016· dataset· en· IUPAC Standards Online· Chemistry
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Top-Down Proteomics
Kermit K. Murray, Robert K. Boyd, Marcos N. Eberlin, G. John Langley, Liang Li, Yasuhide Naito
2016· dataset· en· IUPAC Standards Online· Chemistry
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Meet the Editors: Pierre Thibault
Pierre Thibault
2018· article· en· Rapid Communications in Mass Spectrometry· Chemistry
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
ProteomeXchange dataset
2024· article· en· Chemistry
machine prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
Index
Nobuhiro Takahashi
2007· paratext· en· Chemistry
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
afffundunlabeled
Mining Mass Spectra for Peptide Facts
Jérémie Zumer, Sébastien Lemieux
2023· preprint· en· bioRxiv (Cold Spring Harbor Laboratory)· Chemistry
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Occurrence Download
2025· dataset· en· Global Biodiversity Information Facility· Chemistry
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Submitted to:
2009· article· en· Chemistry
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
afffundunlabeled
Plasma Peptidome
Jaimie Dufresne, Pete Bowden, Thanusi Thavarajah, Angelique Florentinus-Mefailoski, Zhuo Zhen Chen, Monika Tucholska +19 more
2021· preprint· en· Chemistry
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations

How this was built: Screen · Findings · About