gpt-analyzer

id	gpt-analyzer
version	1.0.0
name	GPT Analyzer
description	GPT-specific pattern detection with model fingerprinting and version identification
author	NeoClaw Team
category	detection
tags	["ai-detection","gpt","pattern-matching","model-fingerprinting"]
dependencies	[]

GPT Analyzer

Specialized detection for GPT-generated content with model-specific pattern recognition.

Implementation

  () {
   {
    detectVersion = ,
    checkWatermarks = ,
    minConfidence = 
  } = options;

   normalizedText = text.();
   wordCount = text.().;

  
   gptPhrases = {
    : [
      , , , ,
      , , , 
    ],
    : [
      , , ,
      , , , 
    ],
    : [
      , , ,
      , , , 
    ]
  };

  
   gpt4Score = ;
   gpt35Score = ;
   commonScore = ;
   foundPhrases = [];

  
   ( phrase  gptPhrases[]) {
     (normalizedText.(phrase)) {
      gpt4Score += ;
      foundPhrases.({ phrase, :  });
    }
  }

  
   ( phrase  gptPhrases[]) {
     (normalizedText.(phrase)) {
      gpt35Score += ;
      foundPhrases.({ phrase, :  });
    }
  }

  
   ( phrase  gptPhrases[]) {
     (normalizedText.(phrase)) {
      commonScore += ;
      foundPhrases.({ phrase, :  });
    }
  }

  
   hasNumberedLists = (text.() || []). >= ;
   hasBulletPoints = (text.() || []). >= ;
   structureScore = (hasNumberedLists || hasBulletPoints) ?  : ;

  
   sentences = text.().( s.());
   avgLength = sentences.( sum + s., ) / sentences.;
   variance = sentences.( sum + .(s. - avgLength, ), ) / sentences.;
   uniformityScore = variance <  ?  : ;

  
   totalScore = gpt4Score + gpt35Score + commonScore + structureScore + uniformityScore;
   confidence = .(totalScore, );

  
   detectedModel = ;
   (gpt4Score > gpt35Score && gpt4Score > ) {
    detectedModel = ;
  }   (gpt35Score > gpt4Score && gpt35Score > ) {
    detectedModel = ;
  }   (commonScore > ) {
    detectedModel = ;
  }

   isGPT = confidence >= minConfidence;

   {
    isGPT,
    : .(confidence * ),
    : isGPT ? detectedModel : ,
    : {
      : .(gpt4Score * ) / ,
      : .(gpt35Score * ) / ,
      : .(commonScore * ) / ,
      : .(structureScore * ) / ,
      : .(uniformityScore * ) / 
    },
    : {
      : foundPhrases.,
      : hasNumberedLists || hasBulletPoints,
      : .(avgLength),
      : .(variance)
    },
    : confidence >=  ?  :
                     confidence >=  ?  :
                     confidence >=  ?  :
                     
  };
}


. = {
  analyzeGPTContent
};