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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.

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.

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 6 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
Revenue optimization through demand forecasting
Stikvoort Wouter, van der Zwan Frank
2010· book-chapter· en· IOS Press eBooks· Decision Sciences
distilled prediction:candidate · metaepi_narrowconsensus · none
1
citations
venueno affunlabeled
Are Fallacies Frequent ?
Michel Dufour
2023· article· en· Informal Logic· Decision Sciences
distilled prediction:candidate · insufficient_payloadconsensus · none
1
citations
affunlabeled
Multi-output Ensembles for Multi-step Forecasting
Vítor Cerqueira, Luı́s Torgo
2023· preprint· en· Research Square· Decision Sciences
distilled prediction:candidate · metaresearch+metaepi_narrow+scholarly_communicationconsensus · none
1
citations
affno abstractunlabeled
Forecasting Equicorrelations
Adam Clements, Christopher A Coleman-Fenn, Daniel R. Smith
2011· article· en· SSRN Electronic Journal· Decision Sciences
distilled prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Conclusion and Advanced Topics
Maxime C. Cohen, Paul-Emile Gras, Arthur Pentecoste, Renyu Zhang
2022· book-chapter· en· Springer series in supply chain management· Decision Sciences
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
1
citations
aboutno affunlabeled
Editorial, January 2018
Robert Taylor
2017· article· en· Journal of Time Series Analysis· Decision Sciences
distilled prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Forecasting Model for the Number of Patients with Pneumonia in Thailand
Warangkhana Keerativibool
2016· article· th· The Public Health Journal of Burapha University - วารสารสาธารณสุขมหาวิทยาลัยบูรพา· Decision Sciences
distilled prediction:candidate · metaepi_narrow+stsconsensus · none
1
citations
affno abstractunlabeled
The Fifth Special Issue on Computational Econometrics
David A. Belsley, Pierre Duchesne, George Kapetanios, Erricos John Kontoghiorghes, Marc S. Paolella, Herman K. van Dijk
2010· article· en· Computational Statistics & Data Analysis· Decision Sciences
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
1
citations
affunlabeled
Seasonal Adjustment of Weekly Data
2024· article· en· Econstor (Econstor)· Decision Sciences
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
1
citations
affaboutunlabeled
Does Business Confidence Matter for Investment
Hashmat Khan, Santosh Upadhayaya
2017· preprint· en· RePEc: Research Papers in Economics· Decision Sciences
distilled prediction:candidate · scholarly_communicationconsensus · none
1
citations
affunlabeled
A Geometric Proof of Calibration
Shie Mannor, Gilles Stoltz
2009· preprint· en· Decision Sciences
distilled prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Bivariate Statistics with Categorical Variables
Daniel Stockemer, Jean‐Nicolas Bordeleau
2023· book-chapter· en· Springer texts in political science and international relations· Decision Sciences
distilled prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Forecasting Models
Professor Reda Alhajj, Professor Jon Rokne
2014· book-chapter· en· Decision Sciences
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Statistical Methods and Error Handling
Richard E. Thomson, William J. Emery
2024· book-chapter· en· Elsevier eBooks· Decision Sciences
distilled prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Sales forecasting in the plywood industry
Ronald Nicholson Clark
2011· article· en· cIRcle (University of British Columbia)· Decision Sciences
distilled prediction:candidate · noneconsensus · none
0
citations
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