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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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Construction Project Management and Performance
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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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venuejournal
aboutaboutness

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

1,206 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.
1,206 works in the cohort · of 4,299,418page 2 of 25

Labels cover 2 of 1,206 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 1,206 of 1,206 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
Academics and Auditors
Matti Siemiatycki
2009· article· en· Journal of Planning Education and Research· Decision Sciences
machine prediction:candidate · noneconsensus · none
91
citations
venueno affno abstractunlabeled
Rating Methodology: New Look and New Horizons
Peter Brusov, Tatiana Filatova, Natali Orekhova, V.L. Kulik
2018· article· en· Journal of Reviews on Global Economics· Decision Sciences
machine prediction:candidate · noneconsensus · none
88
citations
affunlabeled
Identifying Forces Driving PMO Changes
Monique Aubry, Brian Hobbs, Ralf Müller, Tomas Blomquist
2010· article· en· Project Management Journal· Decision Sciences
machine prediction:candidate · noneconsensus · none
83
citations
affaboutunlabeled
The Logical Framework Approach-Millennium
Jean Couillard, Serge Garon, Jovica Riznic
2009· article· en· Project Management Journal· Decision Sciences
machine prediction:candidate · noneconsensus · none
83
citations
affunlabeled
Daily Windows Delay Analysis
Tarek Hegazy, Kehui Zhang
2005· article· en· Journal of Construction Engineering and Management· Decision Sciences
machine prediction:candidate · noneconsensus · none
80
citations
venueno affunlabeled
Determinants of Unethical Performance in Nigerian Construction Industry
Luqman Oyekunle Oyewobi, Bashir Olanrewaju Ganiyu, Ayooluwa Oke, Adeniran Wasiu Ola-awo, Abdullateef Adewale Shittu
2011· article· en· Journal of Sustainable Development· Decision Sciences
machine prediction:candidate · research_integrityconsensus · none
68
citations
affunlabeled
Searching for Knowledge in the Pmbok® Guide
Blaize Horner Reich, Siew Yong Wee
2006· article· en· Project Management Journal· Decision Sciences
machine prediction:candidate · noneconsensus · none
63
citations
aboutno affunlabeled
Nano Risk Governance: Current Developments and Future Perspectives
Igor Linkov, FK Satterstrom, JC Monica, Steffen Foss Hansen, T.C. Davis
2009· article· en· Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU)· Decision Sciences
machine prediction:candidate · noneconsensus · none
59
citations

How this was built: Screen · Findings · About