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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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Control Systems and Identification
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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.

616 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.
616 works in the cohort · of 4,299,418page 3 of 13

Labels cover 0 of 616 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 616 of 616 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.

afffundunlabeled
Least Squares for Practitioners
J. A. R. Blais
2010· article· en· Mathematical Problems in Engineering· Engineering
machine prediction:candidate · noneconsensus · none
17
citations
affunlabeled
Mixed Norm Control of a Helicopter
Michael Trentini, J.K. Pieper
2001· article· en· Journal of Guidance Control and Dynamics· Engineering
machine prediction:candidate · noneconsensus · none
16
citations
affno abstractunlabeled
Cochran's statistical theorem revisited
Yongge Tian, George P. H. Styan
2004· article· en· Journal of Statistical Planning and Inference· Engineering
machine prediction:candidate · noneconsensus · none
16
citations
affunlabeled
Controller validation
T.F. Brozenec, Tung‐Ching Tsao, Michael G. Safonov
2001· article· en· International Journal of Adaptive Control and Signal Processing· Engineering
machine prediction:candidate · noneconsensus · none
15
citations
venueno affunlabeled
Parameter estimation under orthant restrictions
Miguel A. Fernández, Cristina Rueda, Bonifacio Salvador
2000· article· en· Canadian Journal of Statistics· Engineering
machine prediction:candidate · noneconsensus · none
12
citations
afffundunlabeled
A LOW-COST APPROACH TO DATA-DRIVEN FUZZY CONTROL OF SERVO SYSTEMS
Radu‐Emil Precup, Ștefan Preitl, Claudia‐Adina Bojan‐Dragos, Elena‐Lorena Hedrea, Raul‐Cristian Roman, Emil M. Petriu
2022· article· en· Facta Universitatis Series Mechanical Engineering· Engineering
machine prediction:candidate · noneconsensus · none
12
citations
affno abstractunlabeled
Fast Fusion Moves for Multi-model Estimation
Andrew Delong, Olga Veksler, Yuri Boykov
2012· book-chapter· en· Lecture notes in computer science· Engineering
machine prediction:candidate · noneconsensus · none
11
citations

How this was built: Screen · Findings · About