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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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Fibroblast Growth Factor Research
Retraction
Abstract
Evidence source
Study design
Label agreement
Label status

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
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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.

607 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.
607 works in the cohort · of 4,299,418page 8 of 13

Labels cover 0 of 607 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 607 of 607 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

afffundunlabeled
Paracrine FGF1 signaling directs pituitary architecture and size
Konstantin Khetchoumian, Kevin Sochodolsky, Chrystel Lafont, Arthur Gouhier, Amandine Bemmo, Yacine Kherdjemil +5 more
2024· article· en· Proceedings of the National Academy of Sciences· Biochemistry, Genetics and Molecular Biology
distilled prediction:candidate · noneconsensus · none
6
citations
fundno affunlabeled
MYCxing It Up with FGFR1 in Squamous Cell Lung Cancer
William W. Lockwood, Katerina Politi
2014· letter· en· Cancer Discovery· Biochemistry, Genetics and Molecular Biology
distilled prediction:candidate · metaepi_narrowconsensus · none
5
citations
affunlabeled
Invariant Berezin Transforms
Takaaki Nomura
2019· book-chapter· en· Biochemistry, Genetics and Molecular Biology
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
5
citations
afffundunlabeled
The fundamentals of fibroblast growth factor 9
Hao Yin, Sabrina C. R. Staples, J. Geoffrey Pickering
2023· review· en· Differentiation· Biochemistry, Genetics and Molecular Biology
distilled prediction:candidate · noneconsensus · none
5
citations
afffundno abstractunlabeled
Insights into the suitability of utilizing brown rats (Rattus norvegicus) as a model for healing spinal cord injury with epidermal growth factor and fibroblast growth factor-II by predicting protein-protein interactions
Nashira Grigg, Andrew Schoenrock, Kevin Dick, James R. Green, Ashkan Golshani, Alex Wong +3 more
2018· article· en· Computers in Biology and Medicine· Biochemistry, Genetics and Molecular Biology
distilled prediction:candidate · noneconsensus · none
4
citations
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