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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 4 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.

afffundno abstractunlabeled
Evaluating Eye Tracking with ISO 9241 - Part 9
Xuan Zhang, I. Scott MacKenzie
2007· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
134
citations
affno abstractunlabeled
Overlap versus Imbalance
Misha Denil, Thomas Trappenberg
2010· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
134
citations
affno abstractunlabeled
Benchmarking Post-quantum Cryptography in TLS
Christian Paquin, Douglas Stebila, Goutam Tamvada
2020· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
134
citations
afffundno abstractunlabeled
Comparing Anomaly Detection Techniques for HTTP
Kenneth L. Ingham, Hajime Inoue
2007· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
132
citations
affno abstractunlabeled
Computational Science — ICCS 2002
P.M.A. Sloot, Jack Dongarra, C. J. Kenneth Tan, Alfons G. Hoekstra
2002· book· en· Lecture notes in computer science· Decision Sciences
machine prediction:candidate · noneconsensus · none
130
citations
affno abstractunlabeled
Information Retrieval
Tieyun Qian, Yiqun Liu, Tong Ruan, Jian‐Yun Nie, Ji-Rong Wen
2017· book· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
127
citations
affno abstractunlabeled
Persistence Diagrams of Cortical Surface Data
Moo K. Chung, Peter Bubenik, Peter T. Kim
2009· article· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
125
citations
affno abstractunlabeled
Extending UML to Support Ontology Engineering for the Semantic Web
Kenneth Bacławski, Mieczyslaw K. Kokar, Paul Kogut, Lewis Hart, Jeffrey Smith, William S. Holmes +2 more
2001· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
124
citations
affno abstractunlabeled
Skyline Cardinality for Relational Processing
Parke Godfrey
2004· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
120
citations
afffundno abstractunlabeled
Rough Sets and Bayes Factor
Dominik Ślȩzak
2005· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
120
citations
affno abstractunlabeled
Human-Computer Interaction – INTERACT 2019
David Lamas, Fernando Loizides, Lennart E. Nacke, Helen Petrie, Marco Winckler, Panayiotis Zaphiris
2019· book· en· Lecture notes in computer science· Engineering
machine prediction:candidate · noneconsensus · none
119
citations
affno abstractunlabeled
Naive Bayesian Classifiers for Ranking
Harry Zhang, Su Jiang
2004· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
119
citations
affno abstractunlabeled
DSL Implementation in MetaOCaml, Template Haskell, and C++
Krzysztof Czarnecki, John T. O’Donnell, Jörg Striegnitz, Walid Taha
2004· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
112
citations
affno abstractunlabeled
A Cognitive Support Framework for Ontology Mapping
Sean M. Falconer, Margaret‐Anne Storey
2007· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
110
citations

How this was built: Screen · Findings · About