Round UUID: 53e788c6-9479-4c93-af27-15523fe62cf8
Prompt:
Using the provided entity data, classify the entity as either 'Fylaran' or 'Qtharri' by strictly adhering to the following defined rules: 1. Classify as 'Qtharri' if: - Mean orbital radius is greater than 3.0 AND Mean surface roughness is greater than 460. - Mean core density is strictly below 0.70 AND mean axial symmetry is below 250. - Mean magnetosphere extent is below 4.5 AND mean axial symmetry is below 340. - Mean tidal distortion is below 30, regardless of other conditions. - Mean tidal distortion exceeds 500 AND (mean core density is below 0.85 OR mean ring system complexity is below 0.90). - Mean axial symmetry > 400 AND mean impact crater count < 0.80. - If mean tidal distortion exceeds 300 AND mean core density is below 0.85, classify as 'Qtharri' regardless of other conditions. - Mean impact crater count > 0.90 AND mean tidal distortion < 100, classify as 'Qtharri' regardless of other conditions. - If mean core density < 0.80 AND mean tidal distortion < 50, classify as 'Qtharri' regardless of other conditions. - If mean core density is strictly between 0.68 and 0.75 AND mean ring system complexity is below 0.85, classify as 'Qtharri'. - If mean surface roughness < 400 AND mean tidal distortion < 400, classify as 'Qtharri' regardless of other conditions. 2. Classify as 'Fylaran' if: - Mean core density is above 0.95 AND mean impact crater count > 0.90. - Mean tidal distortion is between 100 and 400 AND mean impact crater count > 0.85. - Mean ring system complexity > 0.95 AND mean cloud turbulence < 140. - If mean axial symmetry < 150 AND mean core density > 0.90, classify as 'Fylaran' regardless of other conditions. - Mean core density > 0.85 AND mean tidal distortion < 30, classify as 'Fylaran' regardless of other conditions. - If mean surface roughness is below 450 AND mean core density is above 0.85, classify as 'Fylaran'. - If mean orbital radius is strictly between 2.8 and 3.0 AND mean surface roughness > 470, classify as 'Fylaran'. 3. Follow these rules strictly to minimize errors in classification.