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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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International Journal of Statistics and Probability
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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.

621 results · 1 filter active ·
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20122025
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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.
621 works in the cohort · of 4,299,418page 11 of 13

Labels cover 3 of 621 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 621 of 621 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.

venueno affunlabeled
Reviewer Acknowledgements
Wendy Smith
2018· article· en· International Journal of Statistics and Probability· Mathematics
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affunlabeled
Logistic Model to Predict the Contagion of Covid-19 in Mexico
Juan Bacilio Guerrero Escamilla, Sócrates López Pérez, Sonia Bass Zavala
2020· article· en· International Journal of Statistics and Probability· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
The Impact of Sidewalks on Vehicle-Pedestrian Crash Severity
Mehrnaz Doustmohammadi, Niloufar Shirani Bidabadi, Sumalatha Kesaveraddy, Michael Anderson
2018· article· en· International Journal of Statistics and Probability· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Discriminating Among Several Semiparametric Models
M. E. Abd El-Monsef, M. M. Seyam
2013· article· en· International Journal of Statistics and Probability· Mathematics
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Simple Sampling for SARS-CoV-2 Infection in Hidalgo
Lucia V. P. Torres, Juan B. Guerrero Escamilla
2022· article· en· International Journal of Statistics and Probability· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
afffundvenueunlabeled
First Passage and Collective Marks
Yiping Zhang, Myron Hlynka, Percy H. Brill
2019· article· en· International Journal of Statistics and Probability· Chemistry
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Joint Estimation of Binomial Proportions
Kent Riggs, Stephanie Weatherford
2023· article· en· International Journal of Statistics and Probability· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
Comments on a Two Queue Network
Samantha L. Morin, Myron Hlynka, Shan Xu
2017· article· en· International Journal of Statistics and Probability· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
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