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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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Pakistan Journal of Statistics and Operation Research
Topic
Retraction
Abstract
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Study design
Label agreement
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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
fundfunder
venuejournal
aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

8 results · 1 filter active ·
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20112021
Publication date
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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.
8 works in the cohort · of 4,299,418page 1 of 1

Labels cover 0 of 8 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 8 of 8 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
A Markov Model for Analyzing Polytomous Outcome Data
M. Ataharul Islam, Rafiqul I. Chowdhury, Karan P. Singh
2012· article· en· Pakistan Journal of Statistics and Operation Research· Economics, Econometrics and Finance
distilled prediction:candidate · noneconsensus · none
9
citations
afffundunlabeled
The Bias in Bayes and How to Measure it
D. A. S. Fraser
2012· article· en· Pakistan Journal of Statistics and Operation Research· Computer Science
distilled prediction:candidate · scholarly_communicationconsensus · none
1
citations
affunlabeled
On Smoothed MWSD Estimation of Mixing Proportion
Satish Konda, K. L. Mehra, Ramakrishnaiah Y.S.
2021· article· en· Pakistan Journal of Statistics and Operation Research· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
afffundunlabeled
Vector Exponential Models and Second Order Inference
D. A. S. Fraser, Uyen Hoang, Kexin Ji, Xufei Li, Li Li, Wei Lin +1 more
2012· article· en· Pakistan Journal of Statistics and Operation Research· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About