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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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Climate Change and Health Impacts
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.

2,980 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.
2,980 works in the cohort · of 4,299,418page 36 of 60

Labels cover 8 of 2,980 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 2,980 of 2,980 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.

affaboutunlabeled
The Authors Respond
Manolis Kogevinas, Tim K. Takaro
2019· letter· en· Epidemiology· Environmental Science
machine prediction:candidate · noneconsensus · none
2
citations
aboutno affunlabeled
Climate change efforts.
2020· letter· en· PubMed· Environmental Science
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Correction: Tayech, A., et al. Second Wave of COVID-19 Global Pandemic and Athletes’ Confinement: Recommendations to Better Manage and Optimize the Modified Lifestyle. Int. J. Environ. Res. Public Health 2020, 17, 8385
Amel Tayech, Mohamed Arbi Mejri, Issam Makhlouf, Ameni Mathlouthi, David G. Behm, Anis Chaouachi
2021· article· en· International Journal of Environmental Research and Public Health· Environmental Science
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
The low-carbon fruit tree for primary care
Myles Sergeant, Danish Zahid, Elizaveta Zvereva, Roy A. Douglass, L Kroeker, Martin Tieu +2 more
2025· review· en· Healthcare Management Forum· Environmental Science
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
The importance of being explicit
Martin Daly, Daniel Brian Krupp
2017· letter· en· Behavioral and Brain Sciences· Environmental Science
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Editor’s Choice Articles for February
Robert C. Tasker
2024· article· en· Pediatric Critical Care Medicine· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
1
citations

How this was built: Screen · Findings · About