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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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Building Energy and Comfort Optimization
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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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The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

2,455 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.
2,455 works in the cohort · of 4,299,418page 2 of 50

Labels cover 3 of 2,455 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 2,455 of 2,455 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.

affno abstractunlabeled
Intelligent buildings: An overview
Farhad Mofidi, Hashem Akbari
2020· article· en· Energy and Buildings· Engineering
machine prediction:candidate · noneconsensus · none
125
citations
affno abstractunlabeled
On occupant-centric building performance metrics
William O’Brien, Isabella Gaetani, Salvatore Carlucci, Pieter-Jan Hoes, Jlm Jan Hensen
2017· article· en· Building and Environment· Engineering
machine prediction:candidate · noneconsensus · none
121
citations
affunlabeled
SPOT
Peter Gao, Srinivasan Keshav
2013· article· en· Engineering
machine prediction:candidate · noneconsensus · none
115
citations
fundno affunlabeled
Building Thermal Performance, Extreme Heat, and Climate Change
Matthew J. Nahlik, Mikhail Chester, Stephanie S. Pincetl, David P. Eisenman, Deepak Sivaraman, Paul English
2016· article· en· Journal of Infrastructure Systems· Engineering
machine prediction:candidate · noneconsensus · none
115
citations
affunlabeled
IEA EBC Annex83 Positive Energy Districts
Åsa Hedman, Hassam ur Rehman, Andrea Gabaldón, Adriano Bisello, Vicky Albert-Seifried, Xingxing Zhang +6 more
2021· article· en· Buildings· Engineering
machine prediction:candidate · noneconsensus · none
97
citations
afffundunlabeled
A Global Building Occupant Behavior Database
Bing Dong, Yapan Liu, Wei Mu, Zixin Jiang, Pratik Pandey, Tianzhen Hong +51 more
2022· article· en· Scientific Data· Engineering
machine prediction:candidate · noneconsensus · none
89
citations

How this was built: Screen · Findings · About