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':6331007
'passage':Also see Doug Shaw’s guest post on Learning by Doing. Kolb’s Learning Cycle was published in 1984 and is a useful model based on Experiential Learning Theory (ELT) from which trainers and other learning professionals can learn how to develop their practice. We look at Kolb’s Learning Cycle in our Train the Trainer training. The Learning Cycle (also known as the Kolb Cycle or The Experiential Learning Cycle) consists of four stages of learning from experience.
    Output:
    