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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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Bayesian Methods and Mixture Models
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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.

1,238 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.
1,238 works in the cohort · of 4,299,418page 7 of 25

Labels cover 4 of 1,238 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 1,238 of 1,238 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
Meta-analysis using Dirichlet process
Saman Muthukumarana, Ram C. Tiwari
2012· article· en· Statistical Methods in Medical Research· Computer Science
machine prediction:candidate · metaresearchconsensus · none
14
citations
affunlabeled
Bayesian Kernel Methods for Analysis of Functional Neuroimages
Ana Lukić, Miles N. Wernick, Dimitris Tzikas, Xu Chen, Aristidis Likas, N.P. Galatsanos +3 more
2007· article· en· IEEE Transactions on Medical Imaging· Computer Science
machine prediction:candidate · noneconsensus · none
14
citations
affunlabeled
Simplex regression models with measurement error
Jalmar M. F. Carrasco, Nancy Reid
2019· article· en· Communications in Statistics - Simulation and Computation· Computer Science
machine prediction:candidate · noneconsensus · none
13
citations
afffundunlabeled
On forecasting counts
Brajendra C. Sutradhar
2008· article· en· Journal of Forecasting· Computer Science
machine prediction:candidate · noneconsensus · none
13
citations
affunlabeled
Bayesian Nonparametric Modeling of Suicide Attempts
Francisco J. R. Ruiz, Isabel Valera, Carlos Blanco, Fernando Pérez‐Cruz
2012· article· en· Cambridge University Engineering Department Publications Database· Computer Science
machine prediction:candidate · noneconsensus · none
13
citations
venueno affunlabeled
A new method for robust mixture regression
Chun Yu, Weixin Yao, Kun Chen
2016· article· en· Canadian Journal of Statistics· Computer Science
machine prediction:candidate · noneconsensus · none
12
citations
afffundunlabeled
The double CFTP method
Luc Devroye, Lancelot F. James
2011· article· en· ACM Transactions on Modeling and Computer Simulation· Computer Science
machine prediction:candidate · noneconsensus · none
12
citations
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