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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.

affaffiliation
fundfunder
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aboutaboutness

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 15 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.

affunlabeled
Improving Power Load Forecasting using FIS
Maninder Singh, Indu Batra, Balbir Gill, Ajay K. Kakkar
2022· article· en· Engineering
distilled prediction:candidate · insufficient_payloadconsensus · none
1
citations
aboutno affunlabeled
Short-term Load Forecasting based on Wavelet Approach
Ali Karami Ghanavati, Amir Afsharinejad, Navid Vafamand, Mohammad Mehdi Arefi, Mohammad Sadegh Javadi, João P. S. Catalào
2020· article· en· Engineering
distilled prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
About The Conference
Intan Azmira, Keem Siah Yap, Arfah Ahmad, Mohamad Na’im, M. Khalid M. Nasir, Izham Zainal Abidin +1 more
2020· article· en· Engineering
distilled prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
Trends in Wind Energy Forecasting: Umbrella Review of the Recent Advances
Carla Freitas de Andrade, Paulo Alexandre Costa Rocha, Mona Lisa Moura de Oliveira, Jesse Van Griensven Thé, Francisco Olímpio Moura Carneiro, Vanja Fontenele Nunes +1 more
2025· preprint· Preprints.org· Engineering
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
A New Iterative Neural Based Method to Spot Price Forecasting
Mehdi KHavaninzadeh, Mohamad KHavaninzadeh, Mohsen KHavaninzadeh, Farshid Keynia
2015· article· en· International journal of smart electrical engineering· Engineering
distilled prediction:candidate · noneconsensus · none
0
citations
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