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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.

affaffiliation
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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 15 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. 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.

affunlabeled
Analysis on the Hesitation and its Application to Decision Making
Youpeng Yang, Sanghyuk Lee, Kyeong Soo Kim, Haolan Zhang, Xiaowei Huang, Witold Pedrycz
2024· article· en· Decision Making Applications in Management and Engineering· Decision Sciences
machine prediction:candidate · noneconsensus · none
3
citations
afffundunlabeled
DSLRIG: Leveraging predictor structure in logistic regression
Matthew Stephenson, R. Ayesha Ali, Gerarda Darlington, Flávio S. Schenkel, E. James Squires
2019· article· en· Communications in Statistics - Simulation and Computation· Decision Sciences
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
VIKOR Method in Uncertainty Environment
Farhad Hosseinzadeh Lotfı, Tofigh Allahviranloo, Witold Pedrycz, Mohammadreza Shahriari, Hamid Sharafi, Somayeh Razipour GhalehJough
2023· book-chapter· en· Studies in computational intelligence· Decision Sciences
machine prediction:candidate · noneconsensus · none
3
citations
venueno affunlabeled
Contractor Selection Using an Integrated AHP and TOPSIS Model
Othoman Elsayah, Naren Gupta, Binsheng Zhang, Sam Wamuziri
2013· article· en· Implementation of the Inuvialuit Final Agreement, annual review· Decision Sciences
machine prediction:candidate · noneconsensus · none
3
citations

How this was built: Screen · Findings · About