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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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Imbalanced Data Classification 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.

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.

529 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.
529 works in the cohort · of 4,299,418page 8 of 11

Labels cover 1 of 529 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 529 of 529 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affno abstractunlabeled
Handling the Imbalanced Problem in Agro-Food Data Analysis
Adeyemi Adegbenjo, Michael Ngadi
2024· preprint· en· SSRN Electronic Journal· Computer Science
distilled prediction:candidate · metaepi_narrow+scholarly_communication+open_science+research_integrityconsensus · none
1
citations
venueno affunlabeled
A Note on the Area under the Gains Chart
Chris J. Lloyd
2018· article· en· International Journal of Statistics in Medical Research· Computer Science
distilled prediction:candidate · metaresearchconsensus · none
1
citations
affunlabeled
Performance Measures II
Nathalie Japkowicz, Mohak Shah
2011· book-chapter· en· Cambridge University Press eBooks· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
1
citations
affno abstractunlabeled
Mining Minority-Class Examples with Uncertainty Estimates
Gursimran Singh, Lingyang Chu, Lanjun Wang, Jian Pei, Qi Tian, Yong Zhang
2022· book-chapter· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrow+open_scienceconsensus · none
1
citations
venueno affno abstractunlabeled
10.1145/3768292.3793392
AI Generated
2000· article· en· Time to knit· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Is It Safe To Use ManUp Gummies for Men's Health?
2024· other· en· Zenodo (CERN European Organization for Nuclear Research)· Computer Science
distilled prediction:candidate · metaepi_narrow+scholarly_communication+insufficient_payloadconsensus · insufficient_payload
0
citations
affaboutunlabeled
Surface underway pH, water temperature, salinity, dissolved oxygen, chlorophyll and discrete analyses of dissolved inorganic carbon and total alkalinity from the underway TSG collected during the RRS Discovery fall 2023 oceanographic survey cruise (EXPOCODE 32V320231006) in the North Atlantic Ocean and Labrador Sea from 2023-10-06 to 2023-10-26 (NCEI Accession 0299020)
2024· dataset· en· National Oceanic and Atmospheric Administration (NOAA) National Centers for Environmental Information (NCEI)· Computer Science
distilled prediction:candidate · metaepi_narrow+scholarly_communicationconsensus · none
0
citations

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