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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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International Journal of Information Technologies and Systems Approach
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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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aboutaboutness

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

9 results · 1 filter active ·
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20082021
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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.
9 works in the cohort · of 4,299,418page 1 of 1

Labels cover 0 of 9 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 9 of 9 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
Testable Theory Development for Small-N Studies
Matthew L. Smith
2010· article· en· International Journal of Information Technologies and Systems Approach· Social Sciences
machine prediction:candidate · metaresearchconsensus · metaresearch
38
citations
affunlabeled
An Analytics Architecture for Procurement
Sherif Barrad, Stéphane Gagnon, Raul Valverde
2020· article· en· International Journal of Information Technologies and Systems Approach· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
13
citations
affunlabeled
OSTRA
Fabiano K. T. Tiba, Shuying Wang, Sunitha Ramanujam, Miriam A. M. Capretz
2009· article· en· International Journal of Information Technologies and Systems Approach· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
aboutno affunlabeled
The Systems Approach View from Professor Andrew P. Sage
Miroljub Kljajić, Manuel Mora
2008· article· en· International Journal of Information Technologies and Systems Approach· Decision Sciences
machine prediction:candidate · noneconsensus · none
2
citations
affaboutunlabeled
Mobile Enterprise Architecture Framework
Li Zongjun, Annette Lerine Steenkamp
2010· article· en· International Journal of Information Technologies and Systems Approach· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About