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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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Team Performance Management
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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
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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.

34 results · 1 filter active ·
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20012025
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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.
34 works in the cohort · of 4,299,418page 1 of 1

Labels cover 0 of 34 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 34 of 34 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
A guide to global virtual teaming
Rebecca Gatlin‐Watts, Marsha Carson, Joseph Horton, Lauren Maxwell, Neil Maltby
2007· article· en· Team Performance Management· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
25
citations
affunlabeled
Trust tokens in team development
Plinio Pelegrini Morita, Catherine M. Burns
2014· article· en· Team Performance Management· Psychology
machine prediction:candidate · noneconsensus · none
22
citations
affaboutunlabeled
Counterproductive behaviors
Caroline Aubé, Vincent Rousseau
2014· article· en· Team Performance Management· Health Professions
machine prediction:candidate · noneconsensus · none
18
citations
affunlabeled
Do teams grow up one stage at a time?
Jack K. Ito, Céleste M. Brotheridge
2008· article· en· Team Performance Management· Psychology
machine prediction:candidate · noneconsensus · none
15
citations
affaboutunlabeled
Organizational citizenship: a case study of MedLink Ltd
Steven H. Appelbaum, Johnny Al Asmar, Ramy Chehayeb, Nicholaos Konidas, Volodymyr Maksymiw‐Duszara, Inda Duminica
2003· article· en· Team Performance Management· Psychology
machine prediction:candidate · noneconsensus · none
14
citations
aboutno affunlabeled
Leadership lessons from Canada geese
Farid A. Muna, Ned Mansour
2005· article· en· Team Performance Management· Decision Sciences
machine prediction:candidate · noneconsensus · none
5
citations
affunlabeled
Barnyard democracy in the workplace
Céleste M. Brotheridge, Linda Keup
2005· article· en· Team Performance Management· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
5
citations

How this was built: Screen · Findings · About