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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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2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER)
Topic
Retraction
Abstract
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Study design
Label agreement
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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
fundfunder
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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.

13 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.
13 works in the cohort · of 4,299,418page 1 of 1

Labels cover 0 of 13 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 13 of 13 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

afffundunlabeled
Toward Understanding the Impact of Refactoring on Program Comprehension
Giulia Sellitto, Emanuele Iannone, Zadia Codabux, Valentina Lenarduzzi, Andrea De Lucia, Fabio Palomba +1 more
2022· article· en· 2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER)· Computer Science
distilled prediction:candidate · noneconsensus · none
22
citations
affunlabeled
Phishing Kits Source Code Similarity Distribution: A Case Study
Ettore Merlo, Mathieu Margier, Guy-Vincent Jourdan, Iosif-Viorel Onut
2022· article· en· 2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER)· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
6
citations
afffundunlabeled
Do Developers Refactor Data Access Code? An Empirical Study
Biruk Asmare Muse, Foutse Khomh, Giuliano Antoniol
2022· article· en· 2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER)· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
2
citations
afffundunlabeled
What really is software design?
Giovanni Viviani, Gail C. Murphy
2022· article· en· 2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER)· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
1
citations
affunlabeled
Kuber: Cost-Efficient Microservice Deployment Planner
Harshavardhan Kadiyala, Alberto Misail, Julia Rubin
2022· article· en· 2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER)· Computer Science
distilled prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Steering Committee
Yuanfang Cai, Rick Kazman
2022· article· en· 2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER)· Economics, Econometrics and Finance
distilled prediction:candidate · insufficient_payloadconsensus · none
0
citations

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