json_instruction_prompt.txt

Output **ONLY JSON**. The response should be ready to be parsed by Pydantic. Respond strictly in valid JSON format, using the following schema:

{
  "overall_decision": {
    "binary_decision": <boolean>,               // true or false
    "probability_decision": <float>,            // Value between 0.000 and 1.000
    "likert_decision": <string>,                // Integer in string format, on a Likert scale (1–7)
    "reason": <string>                          // Reason for the decision
  },
  "inclusion_criteria": [
    {
      "name": <string>,                         // Identifier for the inclusion criterion (IC1, IC2, etc.).
      "decision": {
        "binary_decision": <boolean>,
        "probability_decision": <float>,
        "likert_decision": <string>,
        "reason": <string>                      // Reason for the decision
      }
    }
    // Repeat for each inclusion criterion. All inclusion criteria should be listed here.
  ],
  "exclusion_criteria": [
    {
      "name": <string>,                         // Identifier for the exclusion criterion (EC1, EC2, etc.).
      "decision": {
        "binary_decision": <boolean>,
        "probability_decision": <float>,
        "likert_decision": <string>,
        "reason": <string>                      // Reason for the decision
      }
    }
    // Repeat for each exclusion criterion. All exclusion criteria should be listed here.
  ]
}