Increase translation-bias dampening to 0.25 for proper calibration

Add translation-bias calibration to ML prediction pipeline

update core py

Integrated pattern deviation, fixed Cebuano modeling, and added ISO Survey

feat: Implement inverted pyramid structure analysis for articles, including language detection and journalistic signal checks, and add new training and core checker modules.

feat: Add fake news detection model training script utilizing hybrid features (TF-IDF, MiniLM, stylometric) and a core checker module, along with updated dependencies.

feat: Implement a unified fact-checking engine integrating internal ML models, external source verification, and date validation with associated data and training scripts.

added date checker because context changes over time

added feature

Enhance bias detection for English opinion pieces & refactor architecture to FactChecker class