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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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Advanced Queuing Theory Analysis
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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.

777 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.
777 works in the cohort · of 4,299,418page 4 of 16

Labels cover 1 of 777 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 777 of 777 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
Modelling and simulation of a telephone call center
Juta Pichitlamken, Alexandre Deslauriers, Pierre L’Ecuyer, Athanassios N. Avramidis
2004· article· en· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
21
citations
afffundunlabeled
WARM-UP PERIODS IN SIMULATION CAN BE DETRIMENTAL
Winfried K. Grassmann
2008· article· en· Probability in the Engineering and Informational Sciences· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
21
citations
afffundno abstractunlabeled
Analysis of B M A P/M S P/1 Queue
S. K. Samanta, M. L. Chaudhry, António Pacheco
2014· article· en· Methodology And Computing In Applied Probability· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
20
citations
afffundunlabeled
Control of multi-service loss networks
Zbigniew Dziong, Lionel Mason
2003· article· en· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
20
citations
affno abstractunlabeled
A model for deceased-donor transplant queue waiting times
Steve Drekic, David A. Stanford, Douglas G. Woolford, Vivian C. McAlister
2014· article· en· Queueing Systems· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
19
citations
afffundno abstractunlabeled
Queueing-theoretic approaches for dynamic scheduling: A survey
Daria Terekhov, Douglas G. Down, J. Christopher Beck
2014· article· en· Surveys in Operations Research and Management Science· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
17
citations
afffundunlabeled
On Q(H log H) Scaling of Network Delays
Almut Burchard, Jörg Liebeherr, Florin Ciucu
2007· article· en· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
16
citations
affno abstractunlabeled
The state-dependent M / G / 1 queue with orbit
Opher Baron, Antonis Economou, Athanasia Manou
2018· article· en· Queueing Systems· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
15
citations

How this was built: Screen · Findings · About