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The note addresses formal concerns identified by the editors concerning the article's compliance with established PLOS authorship policies. The editorial team expresses regret that these specific authorship issues were not adequately identified or resolved prior to the original publication of the research paper in early 2025. This notice acts as a formal record of the discrepancy, ensuring transparency for readers regarding the authorship integrity of the work involving machine learning applications in biofuel production. The note was published in PLOS One on January 6, 2026, to ensure that the scientific community remains informed about the adherence to academic publication standards and the verification of author contributions in complex research projects.",{"@graph":69,"@context":122},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/editorial-note-an-assessment-of-optimizing-biofuel-yield-percentage-using-k-fold-integrated-machine-learning-models-for-a-sustainable-future/444990/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/editorial-note-an-assessment-of-optimizing-biofuel-yield-percentage-using-k-fold-integrated-machine-learning-models-for-a-sustainable-future/444990.png","ImageObject",300,407,{"name":92,"@type":93},"jay","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-09-30","2026-09-29",true,{"@type":102,"interactionType":103,"userInteractionCount":14},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"What is the purpose of this editorial note?","Question",{"text":112,"@type":113},"The purpose is to inform readers about concerns regarding the compliance of the article 'An assessment of optimizing biofuel yield percentage...' with the PLOS Authorship policy.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"When was this editorial note published?",{"text":117,"@type":113},"This editorial note was published on January 6, 2026.",{"name":119,"@type":110,"acceptedAnswer":120},"What specific issue does the editorial note address?",{"text":121,"@type":113},"It addresses issues related to compliance with PLOS Authorship policy that were not resolved before the original article's publication.","https://schema.org",{"og:url":83,"og:type":124,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":126,"canonical":83},"index,follow",{"doc_id":128,"site_id":62},444990,1790791199,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":14,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":8,"language":139,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":140,"faqs":141,"seo_title":142,"seo_description":67,"update_tm":143,"read_time":81},3985747858866,"https://ap-avatar.wpscdn.com/davatar_a8503ba1806abce46bf441b54a3ca4cd","EDITORIAL NOTE  \nEditorial Note: An assessment of optimizing biofuel yield percentage using K-fold integrated machine learning models for a sustainable future  \nThe PLOS One Editors  \nThe PLOS One Editors issue this Editorial Note to inform readers of concerns regarding compliance with PLOS Authorship policy for this article [ 1] . We regret that the issues were not addressed prior to the article’s publication.  \nReference  \n1. Ramalingam K, Abdullah MZ, Elumalai PV, Sangeetha A, Yong X, Hasan N, et al. An assessment of optimizing biofuel yield percentage using K-fold integrated machine learning models for a sustainable future. PLoS One. 2025;20(8):e0328880 . [https://doi.org/10.1371/journal.pone.0328880](https://doi.org/10.1371/journal.pone.0328880 PMID:)[ PMID:](https://doi.org/10.1371/journal.pone.0328880 PMID:)[ ](https://doi.org/10.1371/journal.pone.0328880 PMID:)40811377  \nOPEN ACCESS  \nCitation: The PLOS One Editors (2026) Editorial Note: An assessment of optimizing biofuel yield percentage using K-fold integrated machine learning models for a sustainable future. PLoSOne 21(1): e0339811. [https://doi.org/10.1371/](https://doi.org/10.1371/)[ ](https://doi.org/10.1371/)[journal.pone.0339811](journal.pone.0339811)  \n[Published:](Published: January 6)[ January 6](Published: January 6) , 2026  \nCopyright: © 2026 The PLOS One Editors. This is an open access article distributed under the terms of the Creative Commons Attribution  License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.  \nPLOS One | [https://doi.org/10.1371/journal.pone.0339811](https://doi.org/10.1371/journal.pone.0339811) January 6, 2026 1 / 1","cbCaimZCv1lBKgsd","https://ap.wps.com/l/cbCaimZCv1lBKgsd","pdf",69660,"English","# Editorial Note Regarding Authorship Compliance\n## Reference Information","[{\"question\":\"What is the purpose of this editorial note?\",\"answer\":\"The purpose is to inform readers about concerns regarding the compliance of the article 'An assessment of optimizing biofuel yield percentage...' with the PLOS Authorship policy.\"},{\"question\":\"When was this editorial note published?\",\"answer\":\"This editorial note was published on January 6, 2026.\"},{\"question\":\"What specific issue does the editorial note address?\",\"answer\":\"It addresses issues related to compliance with PLOS Authorship policy that were not resolved before the original article's publication.\"}]","Editorial Note - An assessment of optimizing biofuel yield percentage using K-fold integrated machine learning models for a sustainable future | PDF",1790709989]