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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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Advanced Data Processing Techniques
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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
fundfunder
venuejournal
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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.

199 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.
199 works in the cohort · of 4,299,418page 4 of 4

Labels cover 0 of 199 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 199 of 199 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.

venueno affno abstractunlabeled
10.1016/0967-0653(95)91623-c
2000· article· en· Time to knit· Engineering
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
RAMFIS System Report TAC 2018.
Cecilia Mauceri, Shafiuddin Rehan Ahmed, Timothy O'Gorman
2018· article· en· Theory and applications of categories· Engineering
machine prediction:candidate · noneconsensus · none
0
citations
afffundno abstractunlabeled
Optimal operation of TMP-newsprint refiners
Ilich Lama, Paul Stuart
2006· article· en· Nordic Pulp & Paper Research Journal· Engineering
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
On the monitoring of noisy data as a multidimensional shell
Martin Gagnon, François Léonard, James Merleau, Dominique Tapsoba
2019· article· en· HAL (Le Centre pour la Communication Scientifique Directe)· Engineering
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
reinventing prosperity pdf
2024· other· en· Zenodo (CERN European Organization for Nuclear Research)· Engineering
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
ANES_Sigma_Models.R
Gregory Eady, Peter John Loewen
2020· dataset· en· Harvard Dataverse· Engineering
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affno abstractunlabeled
General Planning / Plenaries / virtual rooms
Olivier Robin, Pierre Masson, Sebastian Ghinet
2021· article· en· Canadian acoustics· Engineering
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affvenueunlabeled
Book Review: Using Digital Analytics for Smart Assessment.
Rachel Sandieson
2019· article· fr· Journal of the Canadian Health Libraries Association / Journal de l Association de bilbiothèques de la santé du Canada· Engineering
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
POSSIBILISTIC ACTIVITY RECOGNITION
Patrice Roy, Bruno Bouchard, Abdenour Bouzouane, Sylvain Giroux
2010· article· en· Engineering
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Models of Linear Systems
David T. Westwick, Robert E. Kearney
2003· other· en· Engineering
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Real Numbers
M. A. Akcoglu, Paul Bartha, Dzung M. Ha
2009· other· en· Engineering
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
ASE2021 vulnerability fix dataset
Jiayuan Zhou, Michael Pacheco, Zhiyuan Wan, Xin Xia, David Lo, Yuan Wang +1 more
2021· dataset· en· Zenodo (CERN European Organization for Nuclear Research)· Engineering
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
ASE2021 vulnerability fix dataset
Jiayuan Zhou, Michael Pacheco, Zhiyuan Wan, Xin Xia, David Lo, Yuan Wang +1 more
2021· dataset· en· Zenodo (CERN European Organization for Nuclear Research)· Engineering
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Computing the Longest Previous Factor
Maxime Crochemore, Lucian Ilie, Costas S. Iliopoulos, Marcin Kubica, Wojciech Rytter, Tomasz Waleń
2013· preprint· en· HAL (Le Centre pour la Communication Scientifique Directe)· Engineering
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Preface
2021· article· en· Journal of Physics Conference Series· Engineering
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations

How this was built: Screen · Findings · About