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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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Optimal Experimental Design Methods
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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.

442 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.
442 works in the cohort · of 4,299,418page 1 of 9

Labels cover 0 of 442 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 442 of 442 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
Functional Data Analysis
J. O. Ramsay
2005· other· en· Encyclopedia of Statistics in Behavioral Science· Decision Sciences
machine prediction:candidate · noneconsensus · none
1,304
citations
affno abstractunlabeled
Optimal experimental design
Byran J. Smucker, Martin Krzywinski, Naomi Altman
2018· article· en· Nature Methods· Decision Sciences
machine prediction:candidate · noneconsensus · none
140
citations
affunlabeled
Varieties of Confidence Intervals
Denis Cousineau
2017· article· en· Advances in Cognitive Psychology· Decision Sciences
machine prediction:candidate · noneconsensus · none
72
citations
afffundunlabeled
Robust Discrimination Designs
Douglas P. Wiens
2009· article· en· Journal of the Royal Statistical Society Series B (Statistical Methodology)· Decision Sciences
machine prediction:candidate · noneconsensus · none
49
citations
afffundunlabeled
A Model-Based Formulation of Robust Design
Khalid Al-Widyan, Jorge Angeles
2005· article· en· Journal of Mechanical Design· Decision Sciences
machine prediction:candidate · noneconsensus · none
40
citations
affno abstractunlabeled
Crossover designs for two-treatment clinical trials
Keumhee C. Carrière, Rong Huang
2000· article· en· Journal of Statistical Planning and Inference· Decision Sciences
machine prediction:candidate · metaresearchconsensus · none
33
citations

How this was built: Screen · Findings · About