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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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Complex Systems and Decision Making
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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.

1,260 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
1,260 works in the cohort · of 4,299,418page 11 of 26

Labels cover 11 of 1,260 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 1,260 of 1,260 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
<i>Unplugged</i> - My Own Book Review
Danny Miller
2017· article· he· M n gement· Decision Sciences
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Crisis Management
Stephen Benedict Dyson, Paul ‘t Hart
2013· book· en· Oxford University Press eBooks· Decision Sciences
machine prediction:candidate · noneconsensus · none
3
citations
aboutno affunlabeled
Understanding complexity
2011· book-chapter· en· Policy Press eBooks· Decision Sciences
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Structured Decision-Making Processes
Hassan Qudrat‐Ullah
2025· book-chapter· en· Decision Sciences
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Unlearning as a Future Challenge for Knowledge Management
Clara Cubillas‐Para, Juan‐Gabriel Cegarra‐Navarro, Anthony Wensley
2023· book-chapter· en· Knowledge management and organizational learning· Decision Sciences
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Indicators of Complex Argumentation
Snoeck Henkemans, A Francisca
2003· article· en· Decision Sciences
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Sustainability under Active Inference
Mahault Albarracin, Maxwell J. D. Ramstead, Riddhi J. Pitliya, Inês Hipólito, Lancelot Da Costa, Maria Raffa +2 more
2024· preprint· en· Preprints.org· Decision Sciences
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Pandemics and Network Scholarship
Tiziana Casciaro
2020· article· en· Journal of Management Studies· Decision Sciences
machine prediction:candidate · metaresearchconsensus · none
3
citations
affunlabeled
Polyface: The Farm of Many Faces
Deishin Lee, Stephanie van Sice
2010· article· en· SSRN Electronic Journal· Decision Sciences
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Scenario development for decision making
Villy Christensen, S. X. Lai
2011· book-chapter· en· Cambridge University Press eBooks· Decision Sciences
machine prediction:candidate · noneconsensus · none
3
citations
affvenueunlabeled
A Call for a New Connectivity
Hugh MacLeod
2011· letter· en· A Nudge Too Far? A Nudge at All? On Paying People to Be Healthy· Decision Sciences
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Goal Orientation and Conflicts
Mattias Elg, Beata Kollberg, Jan Lindmark, Jesper Olsson
2007· article· en· Quality Management in Health Care· Decision Sciences
machine prediction:candidate · noneconsensus · none
3
citations
venueno affunlabeled
Evaluation of a decision support training effectiveness measure
Jeffrey A Bohler, Dianne J. Hall
2008· article· en· Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l Administration· Decision Sciences
machine prediction:candidate · noneconsensus · none
3
citations

How this was built: Screen · Findings · About