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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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COVID-19 Pandemic Impacts
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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.

1,869 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.
1,869 works in the cohort · of 4,299,418page 20 of 38

Labels cover 10 of 1,869 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 1,869 of 1,869 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.

venueno affunlabeled
Performance Services for COVID-19 with Private Medical College Hospitals
Shahriar Hussain Chowdhury, Md. Rahimullah Miah, M. Nazmul Islam, Taher Uddin, Monique Sélim, Alamgir Adil Samdany +10 more
2024· article· en· Global Journal of Health Science· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Effects of Corona Pandemic on Global Environment and Economy
Naveen Gaurav, Anjali Thapa, Yunus Ali, Ashish Kulshrestha, Neha Saini, P. K. Joshi +3 more
2022· article· en· Biotechnology Journal International· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
fundaboutno affunlabeled
Food Is Different During the Pandemic
Anna Jastrzębiec-Witowska
2022· article· en· Ad Americam· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
The Impact of Corona Pandemic on SMEs: Experience from Jordan
Ruba Nimer Abu Shihab Shatha Yousef Abdul Khaliq
2021· article· en· Academy of Information and Management Sciences journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Food and beverage in covid-19, shopee in online shop brooklyn.Store
M Hafiz Yusoff, Khalid Thaher Amayreh, RAMLEE ISMAIL, Amer Hatamleh, Rashed Al Karim, Rajina R. Mohamed +1 more
2021· article· en· Annals of the Romanian Society for Cell Biology· Economics, Econometrics and Finance
machine prediction:candidate · insufficient_payloadconsensus · none
1
citations
affvenueunlabeled
Pandemics through the lens of occupations
Anand Chopra, Michael B. Devereux, Amartya Lahiri
2022· article· en· Canadian Journal of Economics/Revue canadienne d économique· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Global Economic Outlook: Scenario Analysis for 2023 and Tendencies
José Carlos de Souza Colares, Henrique de Castro Neves, Jose Lopes De Souza, Bruno Botelho Piana, Edney Costa Souza
2023· article· en· International Journal of Business Administration· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About