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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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Proceedings of the 14th International Conference on Agents and Artificial Intelligence
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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.

10 results · 1 filter active ·
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20222022
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
10 works in the cohort · of 4,299,418page 1 of 1

Labels cover 0 of 10 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 10 of 10 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affno abstractunlabeled
Whale Optimization-based Prediction for Medical Diagnostic
Ali Asghar Rahmani Hosseinabadi, Mehdi Sadeghilalimi, Morteza Babazadeh Shareh, Malek Mouhoub, Samira Sadaoui
2022· article· en· Proceedings of the 14th International Conference on Agents and Artificial Intelligence· Engineering
distilled prediction:candidate · insufficient_payloadconsensus · none
13
citations
affno abstractunlabeled
Incremental Feature Learning for Fraud Data Stream
Armin Sadreddin, Samira Sadaoui
2022· article· en· Proceedings of the 14th International Conference on Agents and Artificial Intelligence· Computer Science
distilled prediction:candidate · noneconsensus · none
4
citations
affunlabeled
Soft Adversarial Training Can Retain Natural Accuracy
Abhijith Sharma, Apurva Narayan
2022· article· en· Proceedings of the 14th International Conference on Agents and Artificial Intelligence· Computer Science
distilled prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Social Transmission of Information through Virtual Robotic Agents
Owais Hamid, Shruti Chandra, Kerstin Dautenhahn, Chrystopher L. Nehaniv
2022· article· en· Proceedings of the 14th International Conference on Agents and Artificial Intelligence· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Efficient Removal of Weak Associations in Consensus Clustering
N. Sinorina, Howard J. Hamilton, Sandra Zilles
2022· article· en· Proceedings of the 14th International Conference on Agents and Artificial Intelligence· Physics and Astronomy
distilled prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Constrained CP-nets Similarity
Hassan Alkhiri, Malek Mouhoub
2022· article· en· Proceedings of the 14th International Conference on Agents and Artificial Intelligence· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations

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