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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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Esophageal Cancer Research 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.

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.

1,229 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.
1,229 works in the cohort · of 4,299,418page 5 of 25

Labels cover 5 of 1,229 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 1,229 of 1,229 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.

affno abstractExpression of concern · OpenAlex missed itunlabeled
Using machine learning to predict early readmission following esophagectomy
Siavash Bolourani, Mohammad A. Tayebi, Li Diao, Ping Wang, Vihas Patel, Frank Manetta +1 more
2020· article· en· Journal of Thoracic and Cardiovascular Surgery· Medicine
machine prediction:candidate · noneconsensus · none
40
citations
affunlabeled
Infection and esophageal cancer
Sahar Al‐Haddad, Hala El‐Zimaity, Sara Hafezi‐Bakhtiari, Shanmugarajah Rajendra, Catherine Streutker, Rajkumar Vajpeyi +1 more
2014· article· en· Annals of the New York Academy of Sciences· Medicine
machine prediction:candidate · noneconsensus · none
39
citations
affno abstractunlabeled
Report of an Amsterdam Working Group on Barrett Esophagus
G. Johan A. Offerhaus, P Corréa, S. van Eeden, Karel Geboes, Paul Drillenburg, Michael Vieth +10 more
2003· review· en· Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin· Medicine
machine prediction:candidate · noneconsensus · none
33
citations
affno abstractunlabeled
Neoadjuvant Therapy in Esophageal Cancer
Shirley Lewis, Jelena Lukovic
2022· review· en· Thoracic surgery clinics/Thorac. surg. clin.· Medicine
machine prediction:candidate · noneconsensus · none
33
citations
afffundaboutunlabeled
Screening for esophageal adenocarcinoma and precancerous conditions (dysplasia and Barrett’s esophagus) in patients with chronic gastroesophageal reflux disease with or without other risk factors: two systematic reviews and one overview of reviews to inform a guideline of the Canadian Task Force on Preventive Health Care (CTFPHC)
Candyce Hamel, Nadera Ahmadzai, Andrew Beck, Micere Thuku, Becky Skidmore, Kusala Pussegoda +10 more
2020· review· en· Systematic Reviews· Medicine
machine prediction:candidate · metaepi_broadconsensus · none
32
citations

How this was built: Screen · Findings · About