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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.

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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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Information Technology Governance and Strategy
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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
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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.

440 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.
440 works in the cohort · of 4,299,418page 7 of 9

Labels cover 0 of 440 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 440 of 440 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.

affaboutunlabeled
Laurier IT Priorities
Ron Craig
2000· book-chapter· en· IGI Global eBooks· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Looking forward to 2013!
Pierre Dutilleul, Ashis SenGupta
2012· article· en· Environmental and Ecological Statistics· Business, Management and Accounting
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
ROI
Gerald Grant, Robert Collins
2016· book-chapter· fr· Palgrave Macmillan US eBooks· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
CIO Symposium
2021· article· en· Journal of the Association for Information Systems· Business, Management and Accounting
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affaboutunlabeled
Mobile Enterprise Architecture Framework
Li Zongjun, Annette Lerine Steenkamp
2012· book-chapter· en· IGI Global eBooks· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Varnost komunikacij in aplikacij
Boštjan Špehonja, Sanja Gerdak
2022· article· sl· Moderna arhivistika· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Laurier IT Priorities
Ron Craig
2006· book-chapter· en· Cases on information technology series· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Why aren't we eating our own dog food?
Sanjiv Chourasia, Linying Dong
2017· article· en· Journal of Information Technology Teaching Cases· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
One Size Does Not Fit All
Gerald Grant
2002· book-chapter· en· IGI Global eBooks· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Regaining Control Over Information Technology.
Reid Goldsborough
2005· article· en· Teacher librarian· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Analyzing CIO Comments
M. Gordon Hunter
2007· book-chapter· en· IGI Global eBooks· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
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