{ "utc": "2026-10-21T01:19:09.758641+00:00", "timing": "specified during inference, before full cross-arm analysis or scientific content scoring", "primary_arms": [ "qwen_base", "qwen_final", "gemma_base", "gemma_final" ], "contrasts": [ { "name": "qwen_finetuning", "left": "qwen_base", "right": "qwen_final" }, { "name": "gemma_finetuning", "left": "gemma_base", "right": "gemma_final" }, { "name": "base_cross_model", "left": "qwen_base", "right": "gemma_base" }, { "name": "final_cross_model", "left": "qwen_final", "right": "gemma_final" } ], "secondary_generation_contrasts": [ { "name": "qwen_domain_adaptation", "left": "qwen_base", "right": "qwen_domain" }, { "name": "gemma_domain_adaptation", "left": "gemma_base", "right": "gemma_domain" }, { "name": "qwen_semantic_stage", "left": "qwen_domain", "right": "qwen_final" }, { "name": "gemma_semantic_stage", "left": "gemma_domain", "right": "gemma_final" } ], "difference": "right minus left", "generation_metrics": { "json": [ "json_valid", "reference_top_level_keys_present", "exact_json_reference_match" ], "tool": [ "tool_schema_valid", "tool_names_match_reference", "tool_arguments_match_reference" ], "text": [ "nonempty" ] }, "source_metrics": { "source_card": [ "json_valid", "identifiers_match", "schema_fields_present", "all_nonempty_spans_supported", "numeric_literals_exact", "mechanical_grounding_pass" ], "quote_locator": [ "json_valid", "identifiers_match", "quote_match", "interval_matches_source", "exact_reference_position", "mechanical_grounding_pass" ] }, "workflow_primary_endpoints": { "delivery_complete": "原生终态同时具有非占位实验计划与待审报告,并覆盖材料/工艺/性能能力/安全/综合评价/实验规划角色;人工批准不自动执行。", "scientifically_usable_delivery": "delivery_complete且有两个实质不同方向、原文经典对照、可检验假设、对应目标的实验测量与样品身份绑定;未识别实质事实/数值/条件/引用错误,且没有阻止执行的未解决身份或方法缺口。正确声明输入不足、未计算、未实验可接受。", "scientific_content_score": "来源蕴含、身份数值条件、假设与对照、测量设计、执行与能力边界5维,各0/1/2;0为错误或完全缺失,1为部分或未解决,2为明确满足。对最终可交付内容评分,未交付记0并保留原稿诊断。" }, "workflow_review": { "assessor": "本助手的自动/人工阅读式审查,非领域专家", "blinding": "打乱案例和臂顺序并生成无模型/协调标签的原答与最终状态文本;运行轨迹仅在内容评分锁定后核验。执行者已知研究设计,不能声称完全双盲。", "expert_review_completed": false, "expert_decision": null, "rule": "每项实质问题给出输入来源和模型原文定位;格式失败不自动等同科学判断全错;未审项null。" }, "bootstrap": { "replicates": 10000, "seed": 20261018, "confidence": 0.95, "method": "paired cluster percentile; resample original case-group connected components for generation, DOI for source/workflow; numerator/denominator aggregated within each resample", "single_cluster": "report paired point difference without confidence interval" }, "workflow_binary_tests": "two-sided exact McNemar on12 DOI pairs; Holm correction across four primary contrasts times two binary endpoints", "generation_source_tests": "paired cluster confidence intervals and effect sizes; no independent assistant-turn binomial test", "workflow_science_score": "five dimensions each0/1/2, sum0..10; missing final delivery scored0 per inherited rubric; partial raw-content diagnostics reviewed separately", "incomplete_policy": "missing/unexecuted remains null, no complete comparison until expected paired cohort and integrity records are present", "content_review": "blinded output IDs, original task and sources, final result and unmodified generated content except terminal EOS; metadata labels hidden; assessor knows study design, not fully double blind; lock scores before unblinding", "expert_review_completed": false, "timing_cost_policy": "record native token counts and elapsed costs; historical reused time includes decoding/scoring while fresh generation time ends before decoding/scoring. Show origin and timing scope; no high-precision speed superiority claim across these scopes." }