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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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Lung Cancer Diagnosis and Treatment
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.

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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.

2,572 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.
2,572 works in the cohort · of 4,299,418page 19 of 52

Labels cover 12 of 2,572 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 2,572 of 2,572 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
Identifying malignant nodules on chest X-rays
Bassam Mahboub, Manoj Tadepalli, Tarun Raj, Rajalakshmi Santhanakrishnan, Mahmood Yaseen Hachim, Usama Mohammad Hassan Al Bastaki +3 more
2022· article· en· Advances in Biomedical and Health Sciences· Medicine
machine prediction:candidate · noneconsensus · none
13
citations
affno abstractunlabeled
From the International Association for the Study of Lung Cancer Early Detection and Screening Committee: Terminology Issues in Screening and Early Detection of Lung Cancer—International Association for the Study of Lung Cancer Early Detection and Screening Committee Expert Group Recommendations
Rudolf M. Huber, Milena Čavić, Haval Balata, Andrea Borondy Kitts, John K. Field, Claudia I. Henschke +8 more
2024· article· en· Journal of Thoracic Oncology· Medicine
machine prediction:candidate · noneconsensus · none
13
citations
affunlabeled
Lung, Pleural, and Thymic Tumours
James D. Brierley, Mary Gospodarowicz, Christian Wittekind
2017· other· en· TNM Online· Medicine
machine prediction:candidate · noneconsensus · none
13
citations
affno abstractunlabeled
Long-Term Follow-Up on NRG Oncology RTOG 0915 (NCCTG N0927): A Randomized Phase 2 Study Comparing 2 Stereotactic Body Radiation Therapy Schedules for Medically Inoperable Patients with Stage I Peripheral Non–small Cell Lung Cancer
G.M. Videtic, Rebecca Paulus, A.K. Singh, J.Y. Chang, Wendy L. Parker, Kenneth R. Olivier +14 more
2017· article· en· International Journal of Radiation Oncology*Biology*Physics· Medicine
machine prediction:candidate · noneconsensus · none
12
citations
affno abstractunlabeled
In Regard to Ashworth et al
Tanya Berrang, Pauline T. Truong, Scott Tyldesley, Ivo A. Olivotto
2013· letter· en· International Journal of Radiation Oncology*Biology*Physics· Medicine
machine prediction:candidate · noneconsensus · none
12
citations

How this was built: Screen · Findings · About