80bed2731c226693e1c17b4e5c47e81a8fffdba3b76f8cb77d51499c19ecb238

{"mode":"local_challenge_fallback","cliError":"CLI subprocess failed (exit 1) [codex exec --skip-git-repo-check --ephemeral --output-last-message C:\\Users\\ellob\\AppData\\Local\\Temp\\ombra-codex-KsfqkS\\response.txt --color never --sandbox read-only]: stderr: Reading prompt from stdin...\nOpenAI Codex v0.136.0\n--------\nworkdir: C:\\Program Files\\Ombra Wallet\nmodel: gpt-5.5\nprovider: openai\napproval: never\nsandbox: read-only\nreasoning effort: xhigh\nreasoning summaries: none\nsession id: 019e9878-75cc-7722-9771-a5b6780d28dc\n--------\nuser\nEști un judecător AI imparțial care evaluează calitatea răspunsurilor la un prompt.\n\nVei primi:\n- prompt-ul original al utilizatorului\n- o listă de răspunsuri anonimizate (identificate ca R1, R2, etc.)\n\nEvaluează fiecare răspuns pe o scală de la 0 la 100 pe baza:\n- Acuratețe și corectitudine (40%)\n- Claritate și structură (30%)\n- Completitudine (20%)\n- Stil și calitate lingvistică (10%)\n\nReturnează STRICT un JSON cu structura:\n{\n  \"scores\": [\n    { \"responseId\": \"R1\", \"score\": 85, \"reasoning\": \"motiv scurt\" },\n    ...\n  ],\n  \"bestResponseId\": \"R2\"\n}\n\nNu include niciun text în afara JSON-ului.\n\nPrompt original: \"Why is reproducibility important in AI research?\"\n\nRăspunsuri de evaluat:\n## R1\nReproducibility is important in AI research because it allows other researchers to verify the results of your work. It also helps in debugging errors, as others can re-run the experiments to see if they get the same results. Furthermore, it builds trust in the scientific community by ensuring that findings are reliable and not just a fluke. Finally, it accelerates the pace of scientific progress by allowing re...[truncated]","promptHashHint":"8db84536","scores":[{"responseId":"R1","score":87,"reasoning":"fallback local: continut textual; structurat"}],"bestResponseId":"R1"}