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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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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.

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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.

33 results · 1 filter active ·
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20012021
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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.
33 works in the cohort · of 4,299,418page 1 of 1

Labels cover 0 of 33 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 33 of 33 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
ATG Interviews Faye Abrams
Tony Horava
2007· article· en· Against the grain· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
5
citations
affunlabeled
A Response from Steve McKinzie
Steve McKinzie
2009· article· en· Against the grain· Medicine
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Some Reflections on Social Reading
Tony Horova
2015· article· en· Against the grain· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
I Hear the Train A Comin' -- ProQuest
Greg Tananbaum
2009· article· en· Against the grain· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Embracing Automation for Monograph Acquisition
Denise Koufogiannakis
2021· article· en· Against the grain· Computer Science
machine prediction:candidate · scholarly_communicationconsensus · none
0
citations
affno abstractunlabeled
Full Page Ads
Lieut Gerald, Caldwell Siordet, Rifle Brigade'
2014· article· en· Against the grain
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Full Page Ads
Lieut Caldwell
2014· article· en· Against the grain
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Dr. Eric Archambault Profile
Éric Archambault, Michael Shires, Liz Mason, Katina Strauch
2016· article· en· Against the grain· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
ATG Interviews Beth Jefferson
Cris Ferguson
2009· article· en· Against the grain· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
ATG Food and Beverage Round Up- Charleston, SC
Nicole Ameduri, Melanie Masserant
2021· article· en· Against the grain· Agricultural and Biological Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Adding Value to Publishers' Business
Pinar Erzin
2013· article· en· Against the grain· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About