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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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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.

11,332 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.
11,332 works in the cohort · of 4,299,418page 224 of 227

Labels cover 8 of 11,332 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 11,332 of 11,332 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
Active Media Technology: Preface
Jiming Liu, Jinglong Wu, Yiyu Yao, T. Nishida
2009· article· en· Lecture notes in computer science· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
QRUCH Workshop Summary
Philippe Deniel, Suzanne Talon, Venkatesh Kannan, Ariana Torres
2025· book-chapter· en· Lecture notes in computer science· Engineering
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Comparing Causal Convergence Consistency Models
Sidi Mohamed Beillahi, Ahmed Bouajjani, Constantin Enea
2023· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Transactions on Computational Science XXX
Alexei Sourin, C.J. Kenneth Tan
2017· book· en· Lecture notes in computer science· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Model-Based Testing of Non-deterministic Systems
Alexander Onofrei, Marc Frappier, Émilie Bernard
2025· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Preface to RIGiM 2008
Colette Rolland, Carson Woo, Camille Salinesi
2008· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Unsupervised Domain Adaptation for Plant Organ Counting
Tewodros Ayalew, Jordan Ubbens, Ian Stavness
2020· preprint· en· Lecture notes in computer science· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Homotopy Height, Grid-Major Height and Graph-Drawing Height
Thérèse Biedl, Erin Wolf Chambers, David Eppstein, Arnaud de Mesmay, Tim Ophelders
2019· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Lognormality: An Open Window on Neuromotor Control
Réjean Plamondon, Asma Bensalah, Karina Lebel, Romeo Salameh, Guillaume Séguin de Broin, Christian O’Reilly +16 more
2023· book-chapter· en· Lecture notes in computer science· Neuroscience
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Negation, Disjunction, and Choice Questions
Byeong-uk Yi
2025· book-chapter· en· Lecture notes in computer science· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations

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