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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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HER2/EGFR in Cancer Research
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
aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

1,303 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.
1,303 works in the cohort · of 4,299,418page 1 of 27

Labels cover 3 of 1,303 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 1,303 of 1,303 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
Adjuvant Trastuzumab in HER2-Positive Breast Cancer
Dennis J. Slamon, W. Eiermann, Nicholas J. Robert, Tadeusz Pieńkowski, Miguel Martín, Michael F. Press +17 more
2011· article· en· New England Journal of Medicine· Medicine
machine prediction:candidate · noneconsensus · none
2,775
citations
affunlabeled
Antibody–Drug Conjugates: A Comprehensive Review
Puregmaa Khongorzul, Cai Ling, Farhan Ullah Khan, Awais Ullah Ihsan, Juan Zhang
2019· review· en· Molecular Cancer Research· Medicine
machine prediction:candidate · noneconsensus · none
770
citations
affno abstractunlabeled
HER2 testing in gastric cancer: a practical approach
Josef Rüschoff, Wedad Hanna, Michael Bilous, Manfred Hofmann, R. Yoshiyuki Osamura, Frédérique Penault‐Llorca +2 more
2012· article· en· Modern Pathology· Medicine
machine prediction:candidate · noneconsensus · none
596
citations
fundno affno abstractunlabeled
Architecture and Membrane Interactions of the EGF Receptor
Anton Arkhipov, Yibing Shan, Rahul Das, Nicholas Endres, Michael P. Eastwood, David E. Wemmer +2 more
2013· article· en· Cell· Medicine
machine prediction:candidate · noneconsensus · none
525
citations
afffundno abstractunlabeled
ErbB Receptors and Cancer
Zhixiang Wang
2017· review· en· Methods in molecular biology· Medicine
machine prediction:candidate · noneconsensus · none
431
citations
affno abstractunlabeled
Long-term efficacy analysis of the randomised, phase II TRYPHAENA cardiac safety study: Evaluating pertuzumab and trastuzumab plus standard neoadjuvant anthracycline-containing and anthracycline-free chemotherapy regimens in patients with HER2-positive early breast cancer
Andreas Schneeweiß, Stephen Chia, Tamas Hickish, Vernon Harvey, Alexandru Eniu, Maeve Waldron-Lynch +3 more
2017· article· en· European Journal of Cancer· Medicine
machine prediction:candidate · noneconsensus · none
283
citations
afffundunlabeled
Breast cancer — one term, many entities?
Nicholas Bertos, Morag Park
2011· review· en· Journal of Clinical Investigation· Medicine
machine prediction:candidate · noneconsensus · none
230
citations
fundno affno abstractunlabeled
Trastuzumab in the Treatment of Breast Cancer
Sofia Maximiano, Paulo Magalhães, Mara Pereira Guerreiro, Manuel Morgado
2016· review· en· BioDrugs· Medicine
machine prediction:candidate · noneconsensus · none
230
citations

How this was built: Screen · Findings · About