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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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Forecasting Techniques and Applications
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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.

497 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.
497 works in the cohort · of 4,299,418page 8 of 10

Labels cover 0 of 497 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 497 of 497 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

aboutno affunlabeled
Time Range Calculations and Trends
Kathi Kellenberger, Clayton Groom
2015· book-chapter· en· Apress eBooks· Decision Sciences
distilled prediction:candidate · noneconsensus · none
0
citations
fundno affno abstractunlabeled
The accuracy of financial analysts and market response
Zhaochun Yang
2006· article· en· University Library - University of Saskatchewan (University of Saskatchewan)· Decision Sciences
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
aboutno affunlabeled
Time Range Calculations
Kathi Kellenberger, Clayton Groom, Ed Pollack
2019· book-chapter· en· Apress eBooks· Decision Sciences
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Replication_PSRM_2019.do
Richard Nadeau, Ruth Dassonneville, Michael S. Lewis‐Beck, Philippe Mongrain
2019· dataset· en· Harvard Dataverse· Decision Sciences
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Occurrence Download
2022· dataset· en· Global Biodiversity Information Facility· Decision Sciences
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
10.1016/0967-0653(95)94116-8
2000· article· en· Time to knit· Decision Sciences
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Forecasting Models
2018· book-chapter· en· Decision Sciences
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Ordering Distributions: Descriptive Statistics
Albert W. Marshall, Ingram Olkin
2007· book-chapter· en· Springer series in statistics· Decision Sciences
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
0
citations
affunlabeled
Dynamic State-Space Models
Paul Karapanagiotidis
2014· article· en· Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)· Decision Sciences
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
affno abstractunlabeled
Appendix A: Abbreviations and Acronyms
Ceo Chief
2017· other· en· Decision Sciences
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Answers
Ali Grami
2019· other· en· Decision Sciences
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Appendix: Order Statistics
Hong‐Chuan Yang, Mohamed‐Slim Alouini
2020· other· en· Decision Sciences
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Temporal Analysis
2014· book-chapter· en· Decision Sciences
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
A Bayesian estimate of CT2 from sonic anemometer data
Guy Potvin
2004· article· en· 16th Symposium on Boundary Layers and Turbulence and 13th Conference on Interactions of the Sea and Atmosphere· Decision Sciences
distilled prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Demand Forecasting in Supply Chains Using AI
Iman Akour, Rawan Abukhait, Haitham M. Alzoubi, Farnoosh Farzaneh, Ramakrishna Yanamandra, Heba Al-Ateyat
2025· article· Decision Sciences
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
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