{
  "id": 113002,
  "competitionName": "grand-xray-slam-division-b",
  "title": "Grand X-Ray Slam: Division B",
  "briefDescription": "Detect 14 thoracic conditions from chest X-rays in a real-world multi-institution dataset",
  "dateEnabled": "2025-08-23T08:40:11.960Z",
  "deadline": "2025-10-15T22:59:00Z",
  "hasLeaderboard": true,
  "leaderboardPercentage": 50,
  "maxDailySubmissions": 2,
  "numScoredSubmissions": 2,
  "hasSolution": true,
  "numPrizes": 1,
  "forumId": 8638515,
  "dateCreated": "2025-08-21T08:03:59.239393700Z",
  "competitionHostSegmentId": 10,
  "maxTeamSize": 4,
  "totalSolutionRows": 47927,
  "hasCoverImageUrl": true,
  "showPrivateLeaderboard": true,
  "hasScripts": true,
  "totalTeams": 113,
  "totalCompetitors": 124,
  "totalSubmissions": 537,
  "rulesRequired": true,
  "privateLeaderboardReleaseDate": "2025-10-17T00:00:00Z",
  "rowIdColumnName": "Image_name",
  "evaluationAlgorithm": {
    "id": 499,
    "name": "Roc Auc Score",
    "isMax": true,
    "isPublic": true,
    "environmentRenderType": "ENVIRONMENT_RENDER_TYPE_JSON",
    "kernelId": 39244492,
    "latestCompetitionMetricVersionId": 9197,
    "state": "AVAILABLE"
  },
  "categories": [
    {
      "id": 13102,
      "name": "beginner",
      "fullPath": "audience > beginner",
      "description": "New to data science? Explore tips, tricks, and beginner friendly work from other Kagglers.",
      "datasetCount": 12040,
      "competitionCount": 15111,
      "scriptCount": 46380,
      "slug": "beginner",
      "displayName": "Beginner"
    },
    {
      "id": 13103,
      "name": "intermediate",
      "fullPath": "audience > intermediate",
      "datasetCount": 7000,
      "competitionCount": 113,
      "scriptCount": 7801,
      "slug": "intermediate",
      "displayName": "Intermediate"
    },
    {
      "id": 11111,
      "name": "health",
      "fullPath": "subject > health and fitness > health",
      "description": "Consider the health tag your data science gym. Get in there and work out those data science muscles on health analytics. Analyze heart disease until you sweat. Then recover with with a nice candy production dataset.",
      "datasetCount": 24035,
      "competitionCount": 603,
      "scriptCount": 8797,
      "slug": "health",
      "displayName": "Health"
    },
    {
      "id": 4202,
      "name": "healthcare",
      "fullPath": "subject > health and fitness > health > healthcare",
      "description": "AI in healthcare is a growing interest. One of the major problems is simply converting research into an application. Should be easy, right?",
      "datasetCount": 3527,
      "competitionCount": 40,
      "scriptCount": 2935,
      "slug": "healthcare",
      "displayName": "Healthcare"
    },
    {
      "name": "roc auc score",
      "description": "Compute Area Under the Receiver Operating Characteristic Curve (ROC AUC)     from prediction scores. See https://scikit-learn.org/stable/modules/generated/sklearn.metrics.roc_auc_score.html",
      "displayName": "Roc Auc Score"
    }
  ],
  "launched": true,
  "createdByUserId": 15957280,
  "license": {
    "id": 42,
    "name": "Subject to Competition Rules",
    "agreementRequired": false
  },
  "hostName": "Guntas Dhanjal",
  "scoreTruncationNumDecimals": 7,
  "locked": true,
  "totalJoinedUsers": 558,
  "submissionSizeLimitMb": 20480,
  "reward": {
    "id": "USD",
    "quantity": 4000
  },
  "fileBasedSubmissions": true
}