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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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Multi-Criteria Decision Making
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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.

1,053 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.
1,053 works in the cohort · of 4,299,418page 7 of 22

Labels cover 3 of 1,053 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 1,053 of 1,053 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
Testing Conditional Factor Models
Andrew Ang, Dennis Kristensen
2011· report· en· National Bureau of Economic Research· Decision Sciences
distilled prediction:candidate · metaresearch+metaepi_narrow+insufficient_payloadconsensus · metaresearch+insufficient_payload
21
citations
affunlabeled
A Comprehensive Survey and Literature Review on TOPSIS
Hamed Taherdoost, Mitra Madanchian
2024· article· en· International Journal of Service Science Management Engineering and Technology· Decision Sciences
distilled prediction:candidate · noneconsensus · none
21
citations
affunlabeled
Robust Critical Node Selection by Benders Decomposition
Joe Naoum‐Sawaya, Christoph Buchheim
2016· article· en· INFORMS journal on computing· Decision Sciences
distilled prediction:candidate · scholarly_communication+insufficient_payloadconsensus · none
19
citations
affunlabeled
BEHAVIORAL DECISION MAKING WITH COMBINED STATES UNDER IMPERFECT INFORMATION
Rafik Aziz Aliev, Witold Pedrycz, O. H. Huseynov
2013· article· en· International Journal of Information Technology & Decision Making· Decision Sciences
distilled prediction:candidate · metaepi_narrow+scholarly_communication+insufficient_payloadconsensus · scholarly_communication+insufficient_payload
17
citations

How this was built: Screen · Findings · About