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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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UNSWorks (University of New South Wales, Sydney, Australia)
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Retraction
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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.

65 results · 1 filter active ·
Results by year
20012025
Publication date
Categories
Machine labels · sparse coverage
Evidence
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Citations
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
65 works in the cohort · of 4,299,418page 1 of 2

Labels cover 0 of 65 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 65 of 65 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.

aboutno affunlabeled
Crafting health promotion: from Ottawa to beyond Shanghai
Evelyne de Leeuw, Ben Harris‐Roxas
2016· article· en· UNSWorks (University of New South Wales, Sydney, Australia)· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
8
citations
aboutno affunlabeled
Management of Mental Disorders
2014· article· en· UNSWorks (University of New South Wales, Sydney, Australia)· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
6
citations
aboutno affunlabeled
Poverty in Australia 2022: A snapshot
2022· report· en· UNSWorks (University of New South Wales, Sydney, Australia)
machine prediction:candidate · noneconsensus · none
3
citations
aboutno affunlabeled
Fairness in Transportation System
Xian Li
2018· article· en· UNSWorks (University of New South Wales, Sydney, Australia)· Engineering
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Metal uptake by bacteria
2001· dissertation· en· UNSWorks (University of New South Wales, Sydney, Australia)· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Soundtrack Boxing Day
2007· other· en· UNSWorks (University of New South Wales, Sydney, Australia)· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Former West/Future Souths
2023· other· en· UNSWorks (University of New South Wales, Sydney, Australia)· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Australian First Nations Sand Map
2017· other· en· UNSWorks (University of New South Wales, Sydney, Australia)
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Data sharing in multi-site, multi-country trials
2017· article· en· UNSWorks (University of New South Wales, Sydney, Australia)· Medicine
machine prediction:candidate · metaresearch+open_scienceconsensus · metaresearch
0
citations
aboutno affunlabeled
Progressing Gender Inclusion in the ADF
2021· article· en· UNSWorks (University of New South Wales, Sydney, Australia)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Supply Chain Cyber Uplift
2022· report· en· UNSWorks (University of New South Wales, Sydney, Australia)· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About