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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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BRCA gene mutations in cancer
Retraction
Abstract
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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
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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.

2,673 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.
2,673 works in the cohort · of 4,299,418page 6 of 54

Labels cover 9 of 2,673 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 2,673 of 2,673 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
Guidance Statement On BRCA1/2 Tumor Testing in Ovarian Cancer Patients
Ettore Capoluongo, Gillian Ellison, José Antonio López‐Guerrero, Frédérique Penault‐Llorca, Marjolijn J. L. Ligtenberg, Susana Banerjee +14 more
2017· review· en· Seminars in Oncology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
93
citations
afffundaboutunlabeled
Attitude and Knowledge about Genetics and Genetic Testing
Holly Etchegary, Mario Cappelli, Beth K. Potter, Melissa Vloet, Ian D. Graham, Mark Walker +1 more
2009· article· en· Public Health Genomics· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
92
citations
afffundaboutgemma · no categorygpt · no categorymodels split
Differences in Natural History between Breast Cancers in <i>BRCA1</i> and <i>BRCA2</i> Mutation Carriers and Effects of MRI Screening-MRISC, MARIBS, and Canadian Studies Combined
Eveline A.M. Heijnsdijk, Ellen Warner, Fiona J. Gilbert, Madeleine M.A. Tilanus‐Linthorst, D. Gareth Evans, Petrina A. Causer +15 more
2012· article· en· Cancer Epidemiology Biomarkers & Prevention· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
88
citations
affno abstractunlabeled
Prevalence of BRCA1 and BRCA2 mutations in breast cancer patients from Brazil
Magda Conceição Barbosa Gomes, Maurício Magalhães Costa, Radovan Borojević, Álvaro N.A. Monteiro, Roberto José da Silva Vieira, Sérgio Koifman +5 more
2006· article· en· Breast Cancer Research and Treatment· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
88
citations
affno abstractunlabeled
Genetic modifiers of CHEK2*1100delC-associated breast cancer risk
Taru Muranen, Dario Greco, Carl Blomqvist, Kristiina Aittomäki, Sofia Khan, Frans B.L. Hogervorst +68 more
2016· article· en· Genetics in Medicine· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
87
citations
affunlabeled
Hereditary ovarian cancer in Poland
Janusz Menkiszak, Jacek Gronwald, Bohdan Górski, Anna Jakubowska, Tomasz Huzarski, Tomasz Byrski +28 more
2003· article· en· International Journal of Cancer· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
86
citations

How this was built: Screen · Findings · About