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Retraction notice to “A deep learning approach based on graphs to detect plantation lines” [Heliyon Volume 10, Issue 11, 15 June 2024, e31730]

2024· retraction· en· 0 citations· W4404734186 on OpenAlex· 10.1016/j.heliyon.2024.e40689

Why is this work in the frame?

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

Canadian affiliationAn author listed a Canadian institution. This is the only route the usual frame has.

Post-publication record

OpenAlex flags this work as retracted, but it carries no matching Retraction Watch record in this frame.

Machine scores (provisional)

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Opus teacher head0.012
GPT teacher head0.254
Teacher spread
0.242 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Abstract

[This retracts the article DOI: 10.1016/j.heliyon.2024.e31730.].

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

The record

Venue
Heliyon
Topic
Remote Sensing and LiDAR Applications
Field
Environmental Science
Canadian institutions
University of Waterloo
Funders
Keywords
NoticeArtificial intelligenceDeep learningMachine learningComputer scienceData sciencePolitical scienceLaw
Has abstract in OpenAlex
yes