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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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Computational Statistics & Data Analysis
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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.

181 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
181 works in the cohort · of 4,299,418page 1 of 4

Labels cover 0 of 181 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 181 of 181 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
Power Lindley distribution and associated inference
M. E. Ghitany, D. K. Al-Mutairi, N. Balakrishnan, Latifa Alenezi
2013· article· en· Computational Statistics & Data Analysis· Mathematics
machine prediction:candidate · noneconsensus · none
391
citations
affno abstractunlabeled
Trend filtering via empirical mode decompositions
Azadeh Moghtaderi, Patrick Flandrin, Pierre Borgnat
2011· article· en· Computational Statistics & Data Analysis· Computer Science
machine prediction:candidate · noneconsensus · none
91
citations
affno abstractunlabeled
Simulation-based Bayesian inference for epidemic models
Trevelyan J. McKinley, Joshua V. Ross, Rob Deardon, Alex R. Cook
2013· article· en· Computational Statistics & Data Analysis· Mathematics
machine prediction:candidate · noneconsensus · none
88
citations
afffundno abstractunlabeled
Fitting semiparametric cure models
Yingwei Peng
2003· article· en· Computational Statistics & Data Analysis· Mathematics
machine prediction:candidate · noneconsensus · none
86
citations
afffundno abstractunlabeled
Linear grouping using orthogonal regression
Stefan Van Aelst, Xiaogang Wang, Ruben H. Zamar, Rong Zhu
2004· article· en· Computational Statistics & Data Analysis· Mathematics
machine prediction:candidate · noneconsensus · none
77
citations
affno abstractunlabeled
Total Least Squares and Errors-in-variables Modeling
Sabine Van Huffel, Chi-Lun Cheng, Nicola Mastronardi, Chris Paige, Alexander Kukush
2007· article· en· Computational Statistics & Data Analysis· Mathematics
machine prediction:candidate · noneconsensus · none
74
citations
fundno affno abstractunlabeled
Generating good pseudo-random numbers
Brian Wichmann, I. D. Hill
2006· article· en· Computational Statistics & Data Analysis· Computer Science
machine prediction:candidate · noneconsensus · none
71
citations
afffundno abstractunlabeled
Likelihood-ratio tests for normality
Jin Zhang, Yuehua Wu
2004· article· en· Computational Statistics & Data Analysis· Mathematics
machine prediction:candidate · noneconsensus · none
70
citations
afffundno abstractunlabeled
k-Sample tests based on the likelihood ratio
Jin Zhang, Yuehua Wu
2006· article· en· Computational Statistics & Data Analysis· Computer Science
machine prediction:candidate · noneconsensus · none
56
citations
afffundno abstractunlabeled
Model selection for discrete regular vine copulas
Anastasios Panagiotelis, Claudia Czado, Harry Joe, Jakob Stöber
2016· article· en· Computational Statistics & Data Analysis· Computer Science
machine prediction:candidate · noneconsensus · none
41
citations

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