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39 lines
1.2 KiB
JSON
39 lines
1.2 KiB
JSON
{
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"schema_version": "1.0",
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"experiment": "5-3",
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"manuscript_source": "book/chapter5.md#experiment-5-3",
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"design": "controlled tau-bench airline policy experiment",
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"model": {
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"name": "qwen3:4b",
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"runtime": "Ollama OpenAI-compatible chat.completions",
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"temperature": 0
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},
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"matched_arms": [
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"natural-language policy plus naive execution tool",
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"natural-language policy plus checklist parameters plus server-ground-truth gate"
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],
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"cases": {
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"count": 60,
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"factorial_matrix": {
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"cabin": ["basic_economy", "economy_flex", "business"],
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"hours_since_booking": [5.0, 24.0, 24.1, 26.0, 120.0],
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"flight_status": ["scheduled", "cancelled_by_airline", "delayed_major", "delayed_minor"]
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},
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"user_variants": 5
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},
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"metrics": [
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"task success rate",
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"policy violations",
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"invalid tool calls",
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"user experience proxy",
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"checklist expected-value mismatch rate",
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"paired exact McNemar significance"
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],
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"acceptance": {
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"same_real_qwen3_4b_model_both_arms": true,
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"all_60_cases_attempted_in_both_arms": true,
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"server_policy_uses_database_facts_and_server_clock_only": true,
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"raw_messages_tool_calls_provider_receipts_and_usage_saved": true
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}
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}
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