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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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Critical Reviews in Oncology/Hematology
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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
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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.

164 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.
164 works in the cohort · of 4,299,418page 2 of 4

Labels cover 1 of 164 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 164 of 164 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.

afffundno abstractunlabeled
Enzastaurin: A lesson in drug development
Tarryn Bourhill, Aru Narendran, R.N. Johnston
2017· review· en· Critical Reviews in Oncology/Hematology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
54
citations
afffundno abstractunlabeled
The use of Shiga-like toxin 1 in cancer therapy
Jean Gariépy
2001· review· en· Critical Reviews in Oncology/Hematology· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
54
citations
afffundno abstractunlabeled
Accuracy of the Multinational Association of Supportive Care in Cancer (MASCC) and Clinical Index of Stable Febrile Neutropenia (CISNE) scores for predicting serious complications in adult patients with febrile neutropenia: A systematic review and meta-analysis
Bo Zheng, Cristian Toarta, Wei Cheng, Monica Taljaard, Neil Reaume, Jeffrey J. Perry
2020· review· en· Critical Reviews in Oncology/Hematology· Medicine
machine prediction:candidate · noneconsensus · none
51
citations
affno abstractunlabeled
Conformal radiotherapy for hepatocellular carcinoma
Rachel L.S. Tse, Chandan Guha, Laura A. Dawson
2008· review· en· Critical Reviews in Oncology/Hematology· Medicine
machine prediction:candidate · noneconsensus · none
42
citations
affno abstractunlabeled
Cancer in a drop: Advances in liquid biopsy in 2024
Roberto Borea, Erick Figueiredo Saldanha, Shivahamy Maheswaran, Eleonora Nicolò, Surbhi Singhal, Letizia Pontolillo +8 more
2025· review· en· Critical Reviews in Oncology/Hematology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
31
citations
affno abstractunlabeled
Overview of autologous stem cell transplantation
Nabil F. Saba, R. Abraham, A Keating
2000· review· en· Critical Reviews in Oncology/Hematology· Medicine
machine prediction:candidate · noneconsensus · none
30
citations
aboutno affno abstractunlabeled
Ethics of rural health care
Laurie Lyckholm, Mary Helen Hackney, Thomas J. Smith
2001· review· en· Critical Reviews in Oncology/Hematology· Medicine
machine prediction:candidate · noneconsensus · none
26
citations
affno abstractunlabeled
Imaging predictors of treatment outcomes in rectal cancer: An overview
Lakshmi Shree Kulumani Mahadevan, Jim Zhong, Bhanu Prasad Venkatesulu, Harmeet Kaur, Shreerang Bhide, Bruce D. Minsky +6 more
2018· review· en· Critical Reviews in Oncology/Hematology· Medicine
machine prediction:candidate · noneconsensus · none
21
citations

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