[2025-09-25T13:05:07.406053] [QUERYOME] Starting research for query 417: '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:
Can biofeedback training of psychophysiological responses enhance athletes' sport performance? 

Options:
{'A': 'yes', 'B': 'no', 'C': 'maybe'}'
[2025-09-25T13:05:07.482533] [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:
Can biofeedback training of psychophysiological responses enhance athletes' sport performance? 

Options:
{'A': 'yes', 'B': 'no', 'C': 'maybe'}'
[2025-09-25T13:05:07.484180] Saving text to bench_final/run1/pubmedqa/pubmedqa_416/pi_initial_prompt.txt
[2025-09-25T13:05:07.491183] [PI] Calling o3 for initial analysis...
[2025-09-25T13:05:11.995706] [PI] Reasoning iteration 1
[2025-09-25T13:05:11.997434] [PI reasoning] **Evaluating biofeedback for performance**

I need to determine if biofeedback training can enhance athletes' performance, and I'm leaning towards a "yes" based on existing literature suggesting it does improve performance. My next step is to craft a brief letter, maybe including some explanations along with citations for support. To back up my claims, I should also consider conducting a hybrid search to verify the information. Let's see how it goes!
[2025-09-25T13:05:11.999258] [PI] Executing function call 1: hybrid_search
[2025-09-25T13:05:12.008483] [PI] Function arguments: {'query': 'biofeedback training psychophysiological responses enhance athletes sport performance', 'k': 10, 'faiss_weight': 0.6, 'bm25_weight': 0.4, 'use_rrf': True}
[2025-09-25T13:05:12.010813] Saving JSON to bench_final/run1/pubmedqa/pubmedqa_416/pi_iteration_1_tool_call_2_hybrid_search.json
[2025-09-25T13:05:14.596301] [PI] Function hybrid_search executed successfully
[2025-09-25T13:05:14.598272] Saving JSON to bench_final/run1/pubmedqa/pubmedqa_416/pi_iteration_1_tool_result_2_hybrid_search.json
[2025-09-25T13:05:14.613656] [PI] Continuing reasoning with 1 function responses...
[2025-09-25T13:05:21.216241] [PI] Reasoning iteration 2
[2025-09-25T13:05:21.217758] [PI] No function calls found in response
[2025-09-25T13:05:21.219600] [PI] No more function calls - research complete
[2025-09-25T13:05:21.223895] Saving text to bench_final/run1/pubmedqa/pubmedqa_416/pi_final_answer.txt
[2025-09-25T13:05:21.228447] [QUERYOME] Query completed successfully
