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':1626945
'passage':Contiguity model – the Pavlovian model, the more times two things are paired, the. greater the learning that will take place. Contingency model- Rescorla – rests of cognitive view of classical conditioning: If A is. contingent on B and vice versa then one predicts the other, learning more powerful. OPERANT CONDITIONING – kind of learning based on the association of consequences with one’s behavior.
    Output:
    