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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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Complex Network Analysis Techniques
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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.

1,618 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.
1,618 works in the cohort · of 4,299,418page 25 of 33

Labels cover 3 of 1,618 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 1,618 of 1,618 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
Empirical Study of Graph Spectra and Their Limitations
Pierre Miasnikof, Alexander Y. Shestopaloff, Cristián Bravo, Yuri Lawryshyn
2024· book-chapter· en· Studies in computational intelligence· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Choosing Friends in Everyday Life by using Graph Theory
Abdul Aleem Mughal, Raja Noshad Jamil, Mohammad Reza Farahani, Mehdi Alaeiyan, Murat Cancan
2024· article· en· Journal of Combinatorial Mathematics and Combinatorial Computing· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
inferential confusion questionnaire pdf
2024· other· en· Zenodo (CERN European Organization for Nuclear Research)· Physics and Astronomy
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Social Network Analysis:The Significance of Relations
Nicholas Haagensen, Lasse Folke Henriksen
2020· article· en· Research at the University of Copenhagen (University of Copenhagen)· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Toledo, Ohio
2009· other· en· OhioLink ETD Center (Ohio Library and Information Network)· Physics and Astronomy
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Session details: Social networks
Sue Moon
2010· article· en· Physics and Astronomy
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
The Time Element of Temporal Networks
Ali Farrokhtala, Yuanzhu Chen, Ting Hu
2019· article· en· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Advances in Social Network Analysis and Mining
Nasrullah Memon, Reda Alhajj
2009· book· en· University of Southern Denmark Research Portal (University of Southern Denmark)· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Error Bounds for the Network Scale-Up Method
Sergio Díaz-Aranda, Juan Marcos Ramírez, Mohit Daga, Jaya Prakash Champati, José Aguilar, Rosa E. Lillo +1 more
2025· article· en· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Visualizing real-world networks
Lyndsay Roach
2021· preprint· en· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
0
citations

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