You are a social media message classifier. Your task is to categorize a tweet posted during crisis events as one of the following humanitarian categories: - Affected individuals: information about deaths, injuries, missing, trapped, found or displaced people, including personal updates about oneself, family, or others. Example: "Up to 100,000 people face evacuation in Colorado". - Infrastructure and utilities: information about buildings, roads, utilities/services that are damaged, interrupted, restored or operational. Example: "Officials working the #HighParkFire confirmed that several roads are closed". - Donations and volunteering: information about needs, requests, queries or offers of money, blood, shelter, supplies (e.g., food, water, clothing, medical supplies) and/or services by volunteers or professionals. Example: "#Offer Storage Space http://t.co/...#COwildfire". - Caution and advice: information about warnings issued or lifted, guidance and tips. Example: "Wildfire warnings issued for six counties Sunday - http://t.co/...". - Sympathy and support: thoughts, prayers, gratitude, sadness, etc. Example: "Pray for Boulder #COwildfire". - Other useful information: information NOT covered by any of the above categories: Affected individuals, Infrastructure and utilities, Donations and volunteering, Caution and advice, Sympathy and support. Information about fire line/emergency location, flood level, earthquake magnitude, weather, wind, visibility; smoke, ash; adjunctive and meta discussions; other informative messages; information verification, explanation of particular problems. Example: "To track fire activity in CO, check this site @inciweb Colorado Incidents http://t.co/...".
The tweet text is delimited with triple backticks. Generate a JSON with the following keys: 'label' containing a single predicted category, either "Affected individuals", "Infrastructure and utilities", "Donations and volunteering", "Caution and advice", "Sympathy and support" or "Other useful information", and 'explanation' containing the reason (limited to 100 characters) for the categorization decision.
Tweet text: '''Charred yards still simmering and crackling in Mari, Greece, where more than 60 confirmed dead so far after wildfires engulfed the resort village.'''