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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 10 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 teacher distillation outputs. Candidate is the union; consensus is the intersection.

venueno affunlabeled
Exploring the Resilience of Islamic Stock in Indonesia and Asian Markets
Nofrianto Nofrianto, Deni Pandu Nugraha, Amanj Mohamed Ahmed, Zaenal Muttaqin, Mária Fekete‐Farkas, István Hágen
2024· article· en· Journal of risk and financial management· Economics, Econometrics and Finance
distilled prediction:candidate · noneconsensus · none
7
citations
venueno affno abstractunlabeled
Shopping for Food During COVID-19 Pandemic
Carol A. Friesen
2020· article· en· Journal of Nutrition Education and Behavior· Economics, Econometrics and Finance
distilled prediction:candidate · noneconsensus · none
7
citations
afffundunlabeled
Pandemics Through the Lens of Occupations
Anand Chopra, Michael Devereux, Amartya Lahiri
2020· report· en· National Bureau of Economic Research· Economics, Econometrics and Finance
distilled prediction:candidate · metaresearch+metaepi_narrowconsensus · none
7
citations
affaboutunlabeled
COVID and the Economic Importance of In-Person K-12 Schooling
David A. Green, Ali Karimirad, Gaëlle Simard‐Duplain, Henry Siu
2020· report· en· National Bureau of Economic Research· Economics, Econometrics and Finance
distilled prediction:candidate · metaresearch+metaepi_narrowconsensus · none
7
citations
affunlabeled
COVID-EENet: Predicting Fine-Grained Impact of COVID-19 on Local Economies
Doyoung Kim, Hyangsuk Min, Youngeun Nam, Hwanjun Song, Susik Yoon, Minseok Kim +1 more
2022· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Economics, Econometrics and Finance
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
6
citations

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