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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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BIM and Construction Integration
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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.

1,860 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.
1,860 works in the cohort · of 4,299,418page 2 of 38

Labels cover 5 of 1,860 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 1,860 of 1,860 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.

affunlabeled
Computer-Aided Site Layout Planning
Farnaz Sadeghpour, Osama Moselhi, Sabah Alkass
2006· article· en· Journal of Construction Engineering and Management· Engineering
machine prediction:candidate · noneconsensus · none
71
citations
afffundno abstractunlabeled
Computer vision applications in offsite construction
Fatima Alsakka, Sena Assaf, Ibrahim El-chami, Mohamed Al‐Hussein
2023· article· en· Automation in Construction· Engineering
machine prediction:candidate · noneconsensus · none
62
citations
afffundunlabeled
A feature ontology to support construction cost estimating
Sheryl Staub‐French, Martin Fischer, John Kunz, Kos Ishii, Boyd C. Paulson
2003· article· en· Artificial intelligence for engineering design analysis and manufacturing· Engineering
machine prediction:candidate · noneconsensus · none
59
citations
affunlabeled
Planning and Scheduling Highway Construction
Ahmed Hassanein, Osama Moselhi
2004· article· en· Journal of Construction Engineering and Management· Engineering
machine prediction:candidate · noneconsensus · none
52
citations
afffundno abstractunlabeled
Automating motion trajectory Of crane-lifted loads
Jacek Olearczyk, Ahmed Bouferguène, Mohamed Al‐Hussein, Ulrich Hermann
2014· article· en· Automation in Construction· Engineering
machine prediction:candidate · noneconsensus · none
51
citations

How this was built: Screen · Findings · About