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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 35 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
Partially Supervised Learning
Friedhelm Schwenker, Edmondo Trentin
2012· book· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
21
citations
affno abstractunlabeled
Interactive Segmentation with Super-Labels
Andrew Delong, Lena Gorelick, Frank R. Schmidt, Olga Veksler, Yuri Boykov
2011· article· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
21
citations
fundno affunlabeled
The OpenCitations Data Model
Marilena Daquino, Silvio Peroni, David M. Shotton, Giovanni Colavizza, Behnam Ghavimi, Anne Lauscher +3 more
2020· preprint· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · bibliometrics+scholarly_communicationconsensus · none
21
citations
affno abstractunlabeled
Secret Keys from Channel Noise
Hadi Ahmadi, Reihaneh Safavi–Naini
2011· book-chapter· en· Lecture notes in computer science· Engineering
machine prediction:candidate · noneconsensus · none
20
citations
affno abstractunlabeled
Automatic Semantic Web Annotation of Named Entities
Éric Charton, Michel Gagnon, Benoı̂t Ozell
2011· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
20
citations
affno abstractunlabeled
A Survey of Data Structures in the Bitprobe Model
Patrick K. Nicholson, Venkatesh Raman
2013· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
20
citations
afffundno abstractunlabeled
Actor-Based Parallel Dataflow Analysis
Jonathan Rodriguez, Ondřej Lhoták
2011· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
20
citations
affno abstractunlabeled
Answering Yes/No Questions in Legal Bar Exams
Miyoung Kim, Ying Xu, Randy Goebel, Ken Satoh
2014· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
20
citations
affno abstractunlabeled
Decryption Failure Is More Likely After Success
Nina Bindel, John M. Schanck
2020· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
20
citations
affno abstractunlabeled
A Review of Mathematical Knowledge Management
Jacques Carette, William M. Farmer
2009· review· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
20
citations
affno abstractunlabeled
Contrasting Sequence Groups by Emerging Sequences
Kang Deng, Osmar R. Zai͏̈ane
2009· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
20
citations
affno abstractunlabeled
Toward Sound-Assisted Intrusion Detection Systems
Lei Qi, Miguel Vargas Martín, Bill Kapralos, Mark Green, Miguel Á. García-Ruiz
2007· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
20
citations
affno abstractunlabeled
Object-Based Strategy for Morphometry of the Cerebral Cortex
Jean‐François Mangin, Denis Rivière, Arnaud Cachia, Dimitri Papadopoulos Orfanos, D. Louis Collins, Alan C. Evans +1 more
2003· article· en· Lecture notes in computer science· Mathematics
machine prediction:candidate · noneconsensus · none
20
citations
affno abstractunlabeled
DIBHR: Depth Image-Based Haptic Rendering
Jongeun Cha, Mohamad Eid, Abdulmotaleb El Saddik
2008· book-chapter· en· Lecture notes in computer science· Engineering
machine prediction:candidate · noneconsensus · none
20
citations
affno abstractunlabeled
Applied Cryptography and Network Security
Michael J. Jacobson, Michael E. Locasto, Payman Mohassel, Reihaneh Safavi–Naini
2013· book· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
20
citations
affno abstractunlabeled
Conceptual Query Expansion
Orland Hoeber, Xuedong Yang, Yiyu Yao
2005· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
20
citations
affno abstractunlabeled
WPA3 Connection Deprivation Attacks
Karim Lounis, Mohammad Zulkernine
2020· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
20
citations
affno abstractunlabeled
Roulette Sampling for Cost-Sensitive Learning
Victor S. Sheng, Charles X. Ling
2007· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
20
citations

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