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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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International Conference on Information Fusion
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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.

68 results · 1 filter active ·
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20082016
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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.
68 works in the cohort · of 4,299,418page 1 of 2

Labels cover 0 of 68 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 68 of 68 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
Expression of uncertainty in linguistic data
Alain Auger, J. Roy
2008· article· en· International Conference on Information Fusion· Computer Science
distilled prediction:candidate · noneconsensus · none
30
citations
affunlabeled
Belief modeling for maritime surveillance
Aaron Hunter
2009· article· en· International Conference on Information Fusion· Computer Science
distilled prediction:candidate · noneconsensus · none
6
citations
affunlabeled
Flexible ID association-based tracking algorithm
Abhijit Sinha, Daniel J. Peters
2009· article· en· International Conference on Information Fusion· Computer Science
distilled prediction:candidate · noneconsensus · none
6
citations
affunlabeled
A spline filter for multidimensional nonlinear state estimation
Xiaofan He, Bhashyam Balaji, Ratnasingham Tharmarasa, Donna L. Kocherry, Thiagalingam Kirubarajan
2011· article· en· International Conference on Information Fusion· Computer Science
distilled prediction:candidate · noneconsensus · none
5
citations
affunlabeled
Fusing social network data with hard data
T Abirami, Ehsan Taghavi, Ratnasingham Tharmarasa, T. Kirubarajan, Anne-Claire Boury-Brisset
2015· article· en· International Conference on Information Fusion· Computer Science
distilled prediction:candidate · scholarly_communicationconsensus · none
4
citations
affunlabeled
POMDP sensor scheduling with adaptive sampling
Vikram Krishnamurthy
2014· article· en· International Conference on Information Fusion· Computer Science
distilled prediction:candidate · noneconsensus · none
4
citations
affunlabeled
Multiframe assignment tracker for MSTWG data
Ratnasingham Tharmarasa, S. Sutharsan, T. Kirubarajan, Thomas Lang
2009· article· en· International Conference on Information Fusion· Computer Science
distilled prediction:candidate · noneconsensus · none
3
citations
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