Jev が Jozef Gherman の Jev Detector で、貼った文のスロップを採点する

作者: Jozef Gherman

分類

Jozef Gherman

このユースケースを分類

  • Classification1.00
  • Shipped0.96
  • Measured0.97
  • Usefulness0.66
  • Community post1.00
  • Ready0.90
  • Specific case0.97
  • Copy quality0.43
  • Creativity0.10
  • Distinct intent0.86
レイテンシ
~2 seconds for ~10,000 words
結果
証拠のしきい値を越えた文だけを強調する

各文で 0 から 4 の文体 Score と、Wikipedia 規準の Choice を Jev に聞く。

質問

プリミティブ

Choice

Ask a multiple choice question

Name
category
指示
Which Wikipedia Signs of AI writing signal is strongest in this sentence? Pick the single best match.
基準
  • none

    Direct, specific writing without a notable pattern from the rubric.

  • significance_puffery

    Inflates importance, legacy, symbolism, or connection to a broader trend without adding concrete support.

  • superficial_analysis

    Adds a generic interpretive clause, often an -ing phrase, that merely restates why a fact matters.

  • promotional_tone

    Uses advertisement-like praise, grand adjectives, or unqualified claims of excellence and impact.

  • vague_attribution

    Assigns a claim to unnamed experts, observers, critics, reports, or studies without a checkable source.

  • formulaic_language

    Clusters stock AI vocabulary, negative parallelism, tidy triads, or ornate phrasing in place of specifics. One isolated word is not enough.

  • canned_structure

    Uses a generic conclusion, challenges-and-prospects ending, or outline-like transition that could fit many topics.

  • reader_directed

    Addresses the reader, describes the writing task, offers further help, or includes a chatbot-style disclaimer.

  • formatting_artifact

    Contains chatbot citation tokens, placeholder text, provider residue, or other direct generation artifacts.

  • other_ai_style

    Feels generic or model-like for a reason not cleanly covered by the other categories.