additional_features
["Editing pipeline grounded in Meaning Preservation, Noise Filtering (anti-overfitting), and Academic Integrity principles", "Uncertainty transparency via sentence-level semantic confidence framing and [meaning uncertain] flags", "Supports structured AI revision logs (sentence ID, original/revised, applied module/rule, semantic confidence)"]
example_commands
["Polish the paragraph below into international journal style without changing meaning. Provide brief sentence-level reasons for edits.\n[PASTE TEXT]", "Rewrite this Results paragraph to avoid overclaiming, improve flow, and keep the statistical meaning intact.\n[PASTE TEXT]", "Replace vague intensifiers (e.g., 'many', 'somewhat', 'significant' used loosely) with precise academic wording; highlight changes.\n[PASTE TEXT]", "Translate the following into academic English; if any meaning is uncerta
gpt_id
g-690b601abb788191864efe84f729f379
ideal_use_cases
["Polishing Korean drafts into clear academic style with improved argumentative flow", "Improving clarity and naturalness of English manuscripts with appropriate academic diction", "Tuning claim strength to avoid overstatement in Results/Discussion", "Refining Methods/Results phrasing, including statistical result reporting", "Editing abstracts, introductions, conclusions, and figure/table captions for consistency and concision"]
limitations
["Does not fabricate facts, data, or references; it rewrites only based on the author-provided content", "If domain context/definitions are insufficient, interpretation may be limited and marked as [meaning uncertain]", "Cannot guarantee full compliance with a journal’s detailed formatting/citation rules unless provided by the user"]
target_users
["Graduate students and researchers preparing journal submissions", "Authors polishing Korean/English manuscripts for international venues", "Research teams managing revisions and ensuring consistency after peer review"]