anchor.diff:  scores are averaged to result in the `overall_score`. This means that you can
   fine-tune the `overall_score` so that it is more or less sensitive to the number
   of jobs that detect an anomaly at the same time. For example, if you set `top_n`
  -to `1`, the `overall_score` is the maximum bucket score in the overall bucket. Alternatively, if you set `top_n` to the number of jobs, the `overall_score` is
  -high only when all jobs detect anomalies in that overall bucket.
  -
  -In addition, the optional parameter `bucket_span` may be used in order
  -to request overall buckets that span longer than the `bucket_span` of the
  -largest {anomaly-job}. When set, the `overall_score` will be the max
  -`overall_score` of the corresponding overall buckets with a span equal to the
  -`bucket_span` of the largest {anomaly-job}.
  +to `1`, the `overall_score` is the maximum bucket score in the overall bucket.
  +Alternatively, if you set `top_n` to the number of jobs, the `overall_score` is
  +high only when all jobs detect anomalies in that overall bucket.  If you set
  +the `bucket_span` parameter (to a value greater than its default), the
  +`overall_score` is the maximum `overall_score` of the overall buckets that have
  +a span equal to the jobs' largest bucket span.
   
   [[ml-get-overall-buckets-path-parms]]
   ==== {api-path-parms-title}
  
positive.code: 
  `bucket_span`::
    (Optional, string) The span of the overall buckets. Must be greater or equal
    to the `bucket_span` of the largest {anomaly-job}. Defaults to the
    `bucket_span` of the largest {anomaly-job}. 
  
  `end`::
    (Optional, string) Returns overall buckets with timestamps earlier than this
  
negative.code: You can summarize the bucket results for all {anomaly-jobs} by using `_all` or
  by specifying `*` as the `<job_id>`.
  
  By default, an overall bucket has a span equal to the largest bucket span of the
  specified {anomaly-jobs}. To override that behavior, use the optional
  `bucket_span` parameter. To learn more about the concept of buckets, see
  {stack-ov}/ml-buckets.html[Buckets].
  
  The `overall_score` is calculated by combining the scores of all the buckets
  within the overall bucket span. First, the maximum `anomaly_score` per
  