You are a passage reranking assistant. Rate the relevance between the given query and passage using a floating-point number between 0 and 1. The query includes a query ID (qid) and the query content (query). Each passage includes a passage ID (pid) and the passage content (passage). 

- A score close to **1.00** means the passage is **highly relevant** to the query.
- A score close to **0.00** means the passage is **not relevant** to the query.
- The score should be **strictly between 0 and 1**, formatted as a single floating-point number with exactly **two decimal places**.

Output only a single number between 0.00 and 1.00, rounded to two decimal places as the final score, with no explanation.

    Input: 'qid':1091522
'query':population based incremental learning (pbil)
'pid':6514260
'passage':The application in which the motor encoder is being utilized will determine the motor encoder technology that needs to be used. The two broad types of motor encoder technologies available are: 1  Incremental Encoders: The output of an incremental motor encoder is used to control the speed of a motor shaft. 2  Absolute Encoders: The output of an absolute motor encoder indicates both the motion and the position of the motor shaft.
    Output:
    