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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.

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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
Evidence
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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 18 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
CLBDM and a Way Forward
Hassan Qudrat-Ullah
2024· book-chapter· en· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Conclusion: Moving Forward
Ezra B. W. Zubrow, Alexis Buettgen
2024· book-chapter· en· Decision Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affaboutunlabeled
Bringing Tasks into the Study of Organizations
Roman V. Galperin, Lisa E. Cohen, Dylan Boynton, Jillian Chown, Matthew Corritore, Theodore H. DeWitt +2 more
2020· article· en· Academy of Management Proceedings· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
World Systems Overview
Robert L. Hilliard, Michael C. Keith
2023· book-chapter· en· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Problem Solving Networks
Reda Alhajj, Jon Rokne
2018· book-chapter· en· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Reality Sensing
Kieron O’Connor, Frederick Aardema
2011· other· en· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Complexity Science and The Cite Cohort
Anthony Clarke, Gaalen Erickson, Steve Collins, Anne M. Phelan
2007· book-chapter· en· Decision Sciences
machine prediction:candidate · bibliometricsconsensus · none
0
citations
affno abstractunlabeled
Problem Identification and CLBDM
Hassan Qudrat‐Ullah
2024· book-chapter· en· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Uncertainty
2018· book-chapter· en· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Editorial
Adel Francis
2014· editorial· en· Proceedings of the Institution of Civil Engineers - Management Procurement and Law· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Actor-Level Dynamics
Reda Alhajj, Jon Rokne
2018· book-chapter· en· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Group Decision-Making
Reda Alhajj, Jon Rokne
2018· book-chapter· en· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Beyond Agreements
‪Fabio Andrés Díaz Pabón‬
2019· book-chapter· en· Cambridge University Press eBooks· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Individual-Based Model use in Marine Policy
Chelsea Gray, Dale S. Rothman, Erin E. Peters‐Burton, Cynthia Smith, E. C. M. Parsons
2023· dataset· en· Figshare· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
A Generic Model for Resilient Dynamic Systems
W.J. Chris Zhang
2021· article· en· Proceedings of the International Conference of Control, Dynamic systems, and Robotics· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Statistical Issues in Simulation Research
Bruce W. Schmeiser, Bennett L. Fox, Peter Lewis, Andrew F. Seila, James R. Wilson
2012· article· en· NCSU Libraries Repository (North Carolina State University Libraries)· Decision Sciences
machine prediction:candidate · metaresearchconsensus · none
0
citations

How this was built: Screen · Findings · About