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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.

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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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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.

37,702 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.
37,702 works in the cohort · of 4,299,418page 672 of 755

Labels cover 42 of 37,702 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 37,702 of 37,702 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 abstractunlabeled
Killer Acquisitions Under Stackelberg Competition
Ping Lin, Thomas W. Ross, Pengyao Zhang
2025· preprint· en· SSRN Electronic Journal· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
The Minister's Burden Under GAAR
Daniel Sandler
2006· article· en· SSRN Electronic Journal· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Cryptocurrency Shocks
Jinan Liu, Sajjadur Rahman, Apostolos Serletis
2020· article· en· SSRN Electronic Journal· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Estimating Risk Premia in Fixed Income Markets
Peter Christoffersen, Kris Jacobs, Lotfi Karoui, Karim Mimouni
2007· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
The 'Good Corporate Citizen' Beyond BCE
Li-Wen Lin
2020· article· en· SSRN Electronic Journal· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
How Is the US Pricing Carbon? How Could We Price Carbon?
Joseph E. Aldy, Dallas Burtraw, Carolyn Fischer, Meredith Fowlie, Roberton C. Williams, Maureen Cropper
2022· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Inciting Environmental Accountability About Mining Activities
Minqi Liu, Dean Neu, Gregory D. Saxton, Ehsan Babazadeh, Kieran Taylor-Neu, Abu Shiraz Rahaman +1 more
2025· preprint· en· SSRN Electronic Journal· Engineering
machine prediction:candidate · noneconsensus · none
0
citations
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