[2025-09-25T12:38:03.140988] [QUERYOME] Starting research for query 333: 'Instructions: 
 Answer the question below. Please respond with the option letter (A, B, or C) first. (HINT: Each PubMedQA instance is composed of (1) a question which is either an existing research article title or derived from one, (2) a context which is the corresponding abstract without its conclusion, (3) a long answer, which is the conclusion of the abstract and, presumably, answers the research question, and (4) a yes/no/maybe answer which summarizes the conclusion.) 

Question:
Multidisciplinary decisions in breast cancer: does the patient receive what the team has recommended? 

Options:
{'A': 'yes', 'B': 'no', 'C': 'maybe'}'
[2025-09-25T12:38:03.211588] [PI] Starting research for query: 'Instructions: 
 Answer the question below. Please respond with the option letter (A, B, or C) first. (HINT: Each PubMedQA instance is composed of (1) a question which is either an existing research article title or derived from one, (2) a context which is the corresponding abstract without its conclusion, (3) a long answer, which is the conclusion of the abstract and, presumably, answers the research question, and (4) a yes/no/maybe answer which summarizes the conclusion.) 

Question:
Multidisciplinary decisions in breast cancer: does the patient receive what the team has recommended? 

Options:
{'A': 'yes', 'B': 'no', 'C': 'maybe'}'
[2025-09-25T12:38:03.212823] Saving text to bench_final/run1/pubmedqa/pubmedqa_332/pi_initial_prompt.txt
[2025-09-25T12:38:03.218192] [PI] Calling o3 for initial analysis...
[2025-09-25T12:38:15.112002] [PI] Reasoning iteration 1
[2025-09-25T12:38:15.113635] [PI reasoning] **Evaluating PubMedQA question**

I need to tackle a PubMedQA question regarding multidisciplinary decisions in breast cancer treatment. The question asks if patients receive what the team recommends, and I have to decide on yes, no, or maybe without specific context. I recall a study that might suggest a high compliance rate with treatment recommendations—possibly around 80-90%. I think I’ll lean toward answering yes based on this existing knowledge, though I wish I had more details.
[2025-09-25T12:38:15.117469] [PI] Executing function call 1: hybrid_search
[2025-09-25T12:38:15.119251] [PI] Function arguments: {'query': 'Multidisciplinary decisions in breast cancer does the patient receive what the team has recommended', 'k': 5, 'faiss_weight': 0.7, 'bm25_weight': 0.3, 'use_rrf': True}
[2025-09-25T12:38:15.122693] Saving JSON to bench_final/run1/pubmedqa/pubmedqa_332/pi_iteration_1_tool_call_2_hybrid_search.json
[2025-09-25T12:38:18.016445] [PI] Function hybrid_search executed successfully
[2025-09-25T12:38:18.018012] Saving JSON to bench_final/run1/pubmedqa/pubmedqa_332/pi_iteration_1_tool_result_2_hybrid_search.json
[2025-09-25T12:38:18.026226] [PI] Continuing reasoning with 1 function responses...
[2025-09-25T12:38:24.997685] [PI] Reasoning iteration 2
[2025-09-25T12:38:24.999146] [PI] No function calls found in response
[2025-09-25T12:38:25.009246] [PI] No more function calls - research complete
[2025-09-25T12:38:25.011862] Saving text to bench_final/run1/pubmedqa/pubmedqa_332/pi_final_answer.txt
[2025-09-25T12:38:25.016426] [QUERYOME] Query completed successfully
