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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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Technology Assessment and Management
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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
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.

359 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
359 works in the cohort · of 4,299,418page 4 of 8

Labels cover 1 of 359 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 359 of 359 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
Fundamentals of R&D
Hamed Taherdoost
2024· book-chapter· en· Signals and communication technology· Engineering
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
R&D Process
Hamed Taherdoost
2024· book-chapter· en· Signals and communication technology· Engineering
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Success Evaluation in R&D
Hamed Taherdoost
2024· book-chapter· en· Signals and communication technology· Engineering
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Methodology for Cokemaking Technology Selection
Y. Gordon, Robert W. Brown, J. Busser, Iain Cameron, Michiel Freislich
2018· article· en· KnE Engineering· Engineering
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Strategic planning-a key for R&D management
Vijay Kumar Verma, P. Eng
2002· article· en· Technology Management : the New International Language· Engineering
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
The Practice of FATE
Gitanjali Adlakha-Hutcheon
2023· book-chapter· en· Advanced sciences and technologies for security applications· Engineering
machine prediction:candidate · noneconsensus · none
1
citations
fundvenueno affunlabeled
Aircraft Acquisition Conceptual Framework
Ismail bin Yusof, Abd. Rahman Abdul Rahim
2017· article· en· Asian Social Science· Engineering
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
ASME Standards and Certification: Now and Beyond
William Berger, June Ling, Mark Sheehan, David Wizda
2009· article· en· Mechanical Engineering· Engineering
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About