{
  "report_schema_version": "3.0.0",
  "analysis_version": "gr-edge-synthetic-3.0.0",
  "report_id": "GRV3-SIM-02",
  "scenario": {
    "id": "SIM-02",
    "title": "额外脉冲形态",
    "subtitle": "一个看起来像异常、但只由程序构造的第二峰",
    "page_path": "/gaterestart/simulations/pulse-anomaly/",
    "fictional_site": "合成地下停车场上坡出口道闸，非真实停车场或客户"
  },
  "synthetic": true,
  "synthetic_label": "品牌叙事实验 / Synthetic Scenario / 非实测",
  "unit": "a.u.",
  "time_unit": "s",
  "provenance": {
    "csv_path": "data/v3/synthetic_events_v3.csv",
    "csv_sha256": "03d47c16c8384da444303ac0ab82180cc7b6d504643276133a8fbfd86ec6abd9",
    "cases_path": "data/v3/cases_v3.json",
    "cases_sha256": "394ce80352b0ee6811464fed9ce6931a846542a4eb643987bc1852527f446bb6",
    "manifest_path": "data/v3/data-manifest.json",
    "manifest_sha256": "636f416500e01c0b17db9b6fbf798a583ddd9623a58b7d8a5a98b35309d5e409",
    "generator_path": "simulation_v3/generate_v3.py",
    "generator_version": "3.0.0",
    "data_version": "grv3-synthetic-20261114-r1",
    "case_seed": 102,
    "hash_verified_on_load": true
  },
  "selection": {
    "start_s": -1.5,
    "end_s": 4.5,
    "bounds_inclusive": true,
    "source_samples_per_case": 601,
    "selected_samples": 601
  },
  "assumptions_from_synthetic_generator": {
    "source_types_injected": [
      "target_restart"
    ],
    "target_restart_injected": true,
    "injected_component_names": [
      "restart_primary",
      "restart_secondary"
    ],
    "timebase_status": "NOMINAL",
    "gate_marker_s": 0,
    "simulated_gate_clock_late_by_s": null,
    "reference_loss_window_s": null,
    "clip_limit_au": {},
    "source_attribution_is_generator_assumption_not_waveform_inference": true
  },
  "features_computed_from_csv": {
    "calculation_scope": "csv_numeric_and_sample_status_only; no injected source labels used",
    "baseline_window_s": [
      -1.5,
      -0.25
    ],
    "tail_drift_compare_windows_s": [
      [
        -1.5,
        -0.7
      ],
      [
        3.5,
        4.5
      ]
    ],
    "coverage": {
      "bx": {
        "total": 601,
        "valid": 601,
        "saturated": 0,
        "lost": 0,
        "valid_fraction": 1
      },
      "by": {
        "total": 601,
        "valid": 601,
        "saturated": 0,
        "lost": 0,
        "valid_fraction": 1
      },
      "bz": {
        "total": 601,
        "valid": 601,
        "saturated": 0,
        "lost": 0,
        "valid_fraction": 1
      },
      "reference": {
        "total": 601,
        "valid": 601,
        "saturated": 0,
        "lost": 0,
        "valid_fraction": 1
      }
    },
    "baseline_by_channel_au": {
      "bx": 0.019738,
      "by": -0.007461,
      "bz": 0.004538,
      "reference": -0.000474
    },
    "peak_by_channel": {
      "bx": {
        "absolute_deviation_au": 0.579122,
        "absolute_deviation_time_s": 0.45,
        "signed_deviation_au": 0.579122,
        "maximum_au": 0.59886,
        "maximum_time_s": 0.45,
        "minimum_au": -0.009687,
        "minimum_time_s": 2.86
      },
      "by": {
        "absolute_deviation_au": 0.33855,
        "absolute_deviation_time_s": 0.46,
        "signed_deviation_au": 0.33855,
        "maximum_au": 0.331089,
        "maximum_time_s": 0.46,
        "minimum_au": -0.0312,
        "minimum_time_s": 2.96
      },
      "bz": {
        "absolute_deviation_au": 0.270959,
        "absolute_deviation_time_s": 0.96,
        "signed_deviation_au": 0.270959,
        "maximum_au": 0.275497,
        "maximum_time_s": 0.96,
        "minimum_au": -0.24178,
        "minimum_time_s": 0.44
      },
      "reference": {
        "absolute_deviation_au": 0.027782,
        "absolute_deviation_time_s": 2.88,
        "signed_deviation_au": -0.027782,
        "maximum_au": 0.017855,
        "maximum_time_s": -1.01,
        "minimum_au": -0.028256,
        "minimum_time_s": 2.88
      }
    },
    "max_abs_adjacent_slope_au_per_s": {
      "bx": 5.1149,
      "by": 4.5838,
      "bz": 4.4176,
      "reference": 2.4938
    },
    "end_minus_start_median_au": {
      "bx": -0.003326,
      "by": -0.000781,
      "bz": 0.003217,
      "reference": -0.003077
    },
    "reference_similarity": {
      "method": "Pearson(Bx,reference) on shared valid samples; similarity is not identity",
      "comparison_window_s": [
        -0.1,
        0.46
      ],
      "valid_pairs": 57,
      "pearson_r": -0.338769,
      "reference_peak_abs_deviation_au": 0.024132
    },
    "bx_candidate_peaks": {
      "method": "9-point moving mean; positive local maxima >=0.12 a.u.; >=0.24 s apart; 0.10..2.60 s",
      "threshold_au": 0.12,
      "peaks": [
        {
          "time_s": 0.45,
          "height_above_baseline_au": 0.555018
        },
        {
          "time_s": 0.95,
          "height_above_baseline_au": 0.377681
        }
      ],
      "first_two_gap_s": 0.5
    },
    "reference_difference": {
      "method": "Bx - 1.0*reference only at simultaneously VALID samples; uncalibrated illustrative difference",
      "coefficient": 1,
      "valid_pairs": 601,
      "baseline_au": 0.019292,
      "maximum_abs_deviation_au": 0.593824,
      "time_of_max_s": 0.45
    }
  },
  "decision": {
    "status": "RENDER_EVENT",
    "label": "EXTRA_PULSE",
    "label_zh": "合成额外脉冲形态可展示",
    "reasons": [
      {
        "basis": "computed_feature",
        "note": "对Bx平滑后查得至少两个分离正峰，时间间隔来自数值曲线",
        "detail": {
          "first_two_peak_gap_s": 0.5,
          "peak_times_s": [
            0.45,
            0.95
          ]
        }
      },
      {
        "basis": "scenario_assumption",
        "note": "这些峰属于人工合成数据，不判断真实起动机",
        "detail": null
      }
    ],
    "logic_version": "gr-edge-synthetic-3.0.0",
    "is_trained_diagnostic_model": false,
    "real_vehicle_health": null,
    "diagnostic_confidence": null,
    "quality_state": "DEMO_PASS",
    "reasoning_is_synthetic_rule_based": true
  },
  "narrative": {
    "context": "同一概念车道中注入时间接近的两段目标型脉冲。",
    "result": "合成额外脉冲形态可展示",
    "lesson": "两个可见峰只是数学形态，非机械故障数量。",
    "evidence_note": "仅展示由CSV规则识别的合成波形形态，不是引擎状态判断"
  },
  "cannot_infer": [
    "真实车辆是否重启、车型或车辆身份",
    "起动机、电池、电路、发动机故障、健康程度或维修建议",
    "真实OPM探头量程、磁场绝对强度、测量误差或实际停车场抗干扰能力",
    "真实场源归属；来源命名来自预置的虚构情境",
    "真实世界的准确率、召回率、置信概率或工程部署效果"
  ]
}