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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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Statistical Methods and Bayesian Inference
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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.

1,222 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.
1,222 works in the cohort · of 4,299,418page 16 of 25

Labels cover 16 of 1,222 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 1,222 of 1,222 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.

afffundunlabeled
One‐sample aggregate data meta‐analysis of medians
Sean McGrath, Xiaofei Zhao, Zhi Zhen Qin, Russell Steele, Andrea Benedetti
2018· preprint· en· Statistics in Medicine· Mathematics
machine prediction:candidate · metaresearchconsensus · none
3
citations
affunlabeled
Discussion on the paper by Brooks, Giudici and Roberts
Christian P. Robert, Xiao‐Li Meng, Jesper Møller, Jeffrey S. Rosenthal, Christopher Jennison, M. A. Hurn +18 more
2003· article· en· Journal of the Royal Statistical Society Series B (Statistical Methodology)· Mathematics
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Cost‐Effectiveness Analysis
Andrew R. Willan, Andrew Briggs
2006· article· en· Mathematics
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
A Bayesian One-Sample Test for Proportion
Luai Al‐Labadi, Yifan Cheng, Forough Fazeli-Asl, Kyuson Lim, Yanqing Weng
2022· article· en· Stats· Mathematics
machine prediction:candidate · noneconsensus · none
2
citations
venueno affunlabeled
Large Sample Problems
Jai Won Choi, Balgobin Nandram
2021· article· en· International Journal of Statistics and Probability· Mathematics
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Overdispersion
C. B. Dean
2014· other· en· Wiley StatsRef: Statistics Reference Online· Mathematics
machine prediction:candidate · noneconsensus · none
2
citations
afffundunlabeled
Bayesian estimation in multiple comparisons
Guilherme D. Garcia
2025· article· en· Studies in Second Language Acquisition· Mathematics
machine prediction:candidate · noneconsensus · none
2
citations

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