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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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Probability and Risk 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.

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.

682 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.
682 works in the cohort · of 4,299,418page 13 of 14

Labels cover 0 of 682 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 682 of 682 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
Compound Poisson Frequency Models
Harry H. Panjer
2014· other· en· Wiley StatsRef: Statistics Reference Online· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Severity of Ruin
Cary Chi‐Liang Tsai
2004· other· en· Encyclopedia of Actuarial Science· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Integrated Tail Distribution
X. Sheldon Lin
2004· other· en· Encyclopedia of Actuarial Science· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Reliability Classifications
Jun Cai
2014· other· en· Wiley StatsRef: Statistics Reference Online· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Aggregate Loss Modeling
Harry H. Panjer
2014· other· en· Wiley StatsRef: Statistics Reference Online· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Time of Ruin
Cary Chi‐Liang Tsai
2014· other· en· Wiley StatsRef: Statistics Reference Online· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
INSURANCE RISK WITH VARIABLE NUMBER OF POLICIES
Ivo Adan, Vidyadhar G. Kulkarni
2008· article· en· Probability in the Engineering and Informational Sciences· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Failure Rate
Jun Cai
2014· other· en· Wiley StatsRef: Statistics Reference Online· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Distributions for Loss Modeling
Harry H. Panjer
2008· other· en· Encyclopedia of Quantitative Risk Analysis and Assessment· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Zero‐Modified Frequency Distributions
Harry H. Panjer
2014· other· en· Wiley StatsRef: Statistics Reference Online· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Compound Process
Jun Cai
2004· other· en· Encyclopedia of Actuarial Science· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Ruin Theory
X. Sheldon Lin
2004· other· en· Encyclopedia of Actuarial Science· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Compound Process
Jun Cai
2014· other· en· Wiley StatsRef: Statistics Reference Online· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Ontario,
2010· article· en· Decision Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
fundno affunlabeled
Infinite Swapping using IID Samples
Paul Dupuis, Guo-Jhen Wu, Michael Snarski
2019· preprint· en· ACM Transactions on Modeling and Computer Simulation· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Failure Rate
Jun Cai
2004· other· en· Encyclopedia of Actuarial Science· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
afffundno abstractunlabeled
A Note on the Convexity of Ruin Probabilities
David Landriault, Bin Li, Sooie-Hoe Loke, Gordon E. Willmot, Di Xu
2017· article· en· SSRN Electronic Journal· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About