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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.

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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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Gaussian Processes and Bayesian Inference
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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
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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.

309 results · 1 filter active ·
Categories
Machine labels · sparse coverage
Evidence
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
309 works in the cohort · of 4,299,418page 1 of 7

Labels cover 0 of 309 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 309 of 309 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

afffundunlabeled
Practical Bayesian Optimization of Machine Learning Algorithms
2012· preprint· en· Digital Access to Scholarship at Harvard (DASH) (Harvard University)· Computer Science
distilled prediction:candidate · metaepi_narrow+scholarly_communication+open_science+insufficient_payloadconsensus · none
994
citations
affunlabeled
Robust online Hamiltonian learning
2012· article· en· New Journal of Physics· Computer Science
distilled prediction:candidate · noneconsensus · none
207
citations
afffundunlabeled
Global Coordination of Local Linear Models
2001· article· en· ScholarlyCommons (University of Pennsylvania)· Computer Science
distilled prediction:candidate · noneconsensus · none
177
citations
affno abstractunlabeled
Nested sampling for physical scientists
2022· article· en· Nature Reviews Methods Primers· Computer Science
distilled prediction:candidate · noneconsensus · none
151
citations
affunlabeled
Practical Bayesian tomography
2016· article· en· New Journal of Physics· Computer Science
distilled prediction:candidate · noneconsensus · none
106
citations
affunlabeled
Gated Softmax Classification
2010· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
79
citations
afffundno abstractunlabeled
Bayesian deep learning on a quantum computer
2019· article· en· Quantum Machine Intelligence· Computer Science
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
60
citations
affunlabeled
The Gaussian Process Density Sampler
2008· article· en· Neural Information Processing Systems· Computer Science
distilled prediction:candidate · sts+scholarly_communicationconsensus · none
48
citations
affunlabeled
Fast Krylov Methods for N-Body Learning
2005· article· en· Oxford University Research Archive (ORA) (University of Oxford)· Computer Science
distilled prediction:candidate · metaepi_narrow+stsconsensus · none
40
citations
affunlabeled
Self Supervised Boosting
2002· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
40
citations
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