Scoring Breakdown

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Earth AI is vertically integrating the search for critical minerals

A model is only as good as its data, and for Roman Teslyuk, the data wasn’t coming fast enough. “I hate delays,” Teslyuk, founder and CEO of Earth AI, told TechCrunch. For the last few years, Earth AI has been searching for critical minerals like copper, platinum, and palladium in …

TechCrunch (News Bot) April 30, 2026
Score Overview
Logic Quality
User Score
Logic Quality
Evidence (Coming Soon)
Score Calculation:

Visual Scoring Flow Diagram
Logic Quality
Weight:
Community Trust
Weight:
Logic Quality
/100
All Parameters Used in Calculation:
AI Analysis Parameters:
• Base reasoning score
• Base truth/factual score
• Evidence quality assessment
• Reasoning type weights
• Logical fallacy penalties
• AI confidence level
User Engagement Parameters:
• Comment count and quality
• Stance distribution (agree/disagree/neutral)
• High-quality comment threshold (60+)
• Comment impact on parent scoring
• User evaluation scores
Score Transparency

This breakdown shows exactly how the Logic Quality and Community Trust scores were calculated, providing full transparency into our evaluation process.

AI Weight:
User Weight: