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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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Energy Load and Power Forecasting
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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.

993 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.
993 works in the cohort · of 4,299,418page 14 of 20

Labels cover 1 of 993 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 993 of 993 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

afffundunlabeled
Trends on Wind Speed Forecasting: Umbrella Review of the Last 5 Years
Paulo Alexandre Costa Rocha, Carla Freitas de Andrade, André Valente Bueno, Fernanda Leite Lobo, Mona Lisa Moura de Oliveira, Jesse Van Griensven Thé +1 more
2023· preprint· en· Preprints.org· Engineering
distilled prediction:candidate · metaepi_narrowconsensus · none
1
citations
affunlabeled
Short-Term Forecasting of Electricity Consumption Using Fuzzy Logic
Amri M Rizaldi, Ahmad Ridwan, Yuan Anisa, Rudi Salam, Gramandha Wega Intyanto, Daniel Tudor Cotfas +2 more
2023· article· en· Journal of Renewable Energy Electrical and Computer Engineering· Engineering
distilled prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Foreseeing the Worst: Forecasting Electricity DART Spikes
Rémi Galarneau‐Vincent, Geneviève Gauthier, Frédéric Godin
2022· article· en· SSRN Electronic Journal· Engineering
distilled prediction:candidate · sts+research_integrityconsensus · none
1
citations
venueno affunlabeled
Predicting Global Energy Consumption Through Data Mining Techniques
Atta Rahman, Hussam Khalid Abahussin, Ali Alkhwaja, Faisal Alfawaz, Ibrahim Alkhwaja, Mohammed Albugami +4 more
2024· article· en· International Journal of Design & Nature and Ecodynamics· Engineering
distilled prediction:candidate · noneconsensus · none
1
citations
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How this was built: Screen · Findings · About