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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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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.

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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 5 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.

affno abstractunlabeled
On PBIBD Designs Based on Triangular Schemes
Malcolm Greig, Donald L. Kreher, Alan C. H. Ling
2002· article· en· Annals of Combinatorics· Decision Sciences
machine prediction:candidate · noneconsensus · none
5
citations
afffundno abstractunlabeled
Optimal designs for spline wavelet regression models
Jacob M. Maronge, Yi Zhai, Douglas P. Wiens, Zhide Fang
2016· article· en· Journal of Statistical Planning and Inference· Decision Sciences
machine prediction:candidate · noneconsensus · none
5
citations
affno abstractunlabeled
On construction of blocked general minimum lower-order confounding <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si18.gif" display="inline" overflow="scroll"><mml:msup><mml:mrow><mml:mn>2</mml:mn></mml:mrow><mml:mrow><mml:mi>n</mml:mi><mml:mo>−</mml:mo><mml:mi>m</mml:mi></mml:mrow></mml:msup><mml:mo>:</mml:mo><mml:msup><mml:mrow><mml:mn>2</mml:mn></mml:mrow><mml:mrow><mml:mi>r</mml:mi></mml:mrow></mml:msup></mml:math> designs with <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si19.gif" display="inline" overflow="scroll"><mml:mi>N</mml:mi><mml:mo>/</mml:mo><mml:mn>4</mml:mn><mml:mo>+</mml:mo><mml:mn>1</mml:mn><mml:mo>≤</mml:mo><mml:mi>n</mml:mi><mml:mo>≤</mml:mo><mml:mn>5</mml:mn><mml:mi>N</mml:mi><mml:mo>/</mml:mo><mml:mn>16</mml:mn></mml:math>
Bing Guo, Qi Zhou, Runchu Zhang
2014· article· lv· Journal of Complexity· Decision Sciences
machine prediction:candidate · noneconsensus · none
4
citations
affvenueaboutunlabeled
Bayesian optimal design for changepoint problems
Juli Atherton, Benoit Charbonneau, David B. Wolfson, Lawrence Joseph, Xiaojie Zhou, Alain C. Vandal
2009· article· en· Canadian Journal of Statistics· Decision Sciences
machine prediction:candidate · noneconsensus · none
4
citations
afffundunlabeled
Robust designs for experiments with blocks
Rena K. Mann, Roderick Edwards, Julie Zhou
2015· article· en· Communication in Statistics- Theory and Methods· Decision Sciences
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Propositions for Quantification Theory
Shizuhiko Nishisato
2023· book-chapter· en· Behaviormetrics· Decision Sciences
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Methods of Selecting Informative Variables
Agnes M. Herzberg, Sergei Leonov
2006· article· en· Biometrical Journal· Decision Sciences
machine prediction:candidate · noneconsensus · none
3
citations
afffundno abstractunlabeled
Robust and efficient estimation of effective dose
Rohana J. Karunamuni, Qingguo Tang, Bangxin Zhao
2015· article· en· Computational Statistics & Data Analysis· Decision Sciences
machine prediction:candidate · noneconsensus · none
3
citations
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