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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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HAL (Le Centre pour la Communication Scientifique Directe)
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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.

21,501 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.
21,501 works in the cohort · of 4,299,418page 21 of 431

Labels cover 57 of 21,501 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 21,501 of 21,501 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
Composition of leaf and stem bark oils of Xylopia villosa Chipp.
Thierry Acafou Yapi, Jean-Brice Boti, Coffy Antoine Ahibo, Ange Bighelli, Joseph Casanova, Félix Tomi
2012· preprint· en· HAL (Le Centre pour la Communication Scientifique Directe)· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
3
citations
affaboutunlabeled
Prediction of HVAC System Parameters Using Deep Learning
Sirine Maalej, Zoubeir Lafhaj, Jean Yim, Pascal Yim, Colin Noort
2022· preprint· en· HAL (Le Centre pour la Communication Scientifique Directe)· Engineering
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Stage-discharge hysteresis evidenced by multi-ADCP measurements
Jérôme Le Coz, Karine Pobanz, Jean‐Baptiste Faure, Gilles Pierrefeu, B. Blanquart, Y. Choquette
2012· preprint· en· HAL (Le Centre pour la Communication Scientifique Directe)· Materials Science
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Visages de la souveraineté en Océanie
Marie Salaün, Natacha Gagné
2010· preprint· fr· HAL (Le Centre pour la Communication Scientifique Directe)· Social Sciences
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
How to use an Instructional Engineering Method and a Modelling Tool
Gilbert Paquette, Ileana de la Teja, Michel Léonard, Karin Lundgren-Cayrol, Olga Mariño
2005· preprint· en· HAL (Le Centre pour la Communication Scientifique Directe)· Social Sciences
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
"Do-It-Together”: Towards the Factories of the Future
Laurent Dupont, Fédoua Kasmi, Joshua M. Pearce, Roland Ortt
2021· preprint· en· HAL (Le Centre pour la Communication Scientifique Directe)· Social Sciences
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
A Fitted-Q Algorithm for Budgeted MDPs
Nicolas Carrara, Romain Laroche, Jean-Léon Bouraoui, Tanguy Urvoy, Olivier Pietquin
2018· preprint· en· HAL (Le Centre pour la Communication Scientifique Directe)· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Du nom des images d'Isis polymorphe
Laurent Bricault
2006· preprint· fr· HAL (Le Centre pour la Communication Scientifique Directe)· Social Sciences
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Partager Des Modèles Xml : Quel Intérêt ?
Abderrazak Mkadmi, Marc Langlois, Nasreddine Bouhaï
2003· preprint· fr· HAL (Le Centre pour la Communication Scientifique Directe)· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
How do we teach Modelling and Model-Driven Engineering? A survey
Federico Ciccozzi, Michalis Famelis, Gerti Kappel, Leen Lambers, Sébastien Mosser, Richard F. Paige +6 more
2018· preprint· en· HAL (Le Centre pour la Communication Scientifique Directe)· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
EcoSD Annual Workshop - Consequential LCA
Isabelle Blanc
2015· preprint· en· HAL (Le Centre pour la Communication Scientifique Directe)· Engineering
machine prediction:candidate · noneconsensus · none
3
citations

How this was built: Screen · Findings · About