{
  "report_schema_version": "3.0.0",
  "analysis_version": "gr-edge-synthetic-3.0.0",
  "report_id": "GRV3-SIM-07",
  "scenario": {
    "id": "SIM-07",
    "title": "坡道起步中的车体运动磁扰动",
    "subtitle": "宽缓变化可能掩盖窄脉冲",
    "page_path": "/gaterestart/simulations/ramp-motion/",
    "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": 107,
    "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",
      "vehicle_motion"
    ],
    "target_restart_injected": true,
    "injected_component_names": [
      "vehicle_body_motion",
      "restart_primary"
    ],
    "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": 0.036851,
      "by": -0.015594,
      "bz": 0.027922,
      "reference": 0.003291
    },
    "peak_by_channel": {
      "bx": {
        "absolute_deviation_au": 0.493718,
        "absolute_deviation_time_s": 0.64,
        "signed_deviation_au": 0.493718,
        "maximum_au": 0.530569,
        "maximum_time_s": 0.64,
        "minimum_au": 0.001613,
        "minimum_time_s": -1.43
      },
      "by": {
        "absolute_deviation_au": 0.307027,
        "absolute_deviation_time_s": 0.99,
        "signed_deviation_au": -0.307027,
        "maximum_au": 0.008592,
        "maximum_time_s": -1.26,
        "minimum_au": -0.322621,
        "minimum_time_s": 0.99
      },
      "bz": {
        "absolute_deviation_au": 0.723448,
        "absolute_deviation_time_s": 1.05,
        "signed_deviation_au": 0.723448,
        "maximum_au": 0.75137,
        "maximum_time_s": 1.05,
        "minimum_au": -0.007403,
        "minimum_time_s": 4.04
      },
      "reference": {
        "absolute_deviation_au": 0.077456,
        "absolute_deviation_time_s": 1.16,
        "signed_deviation_au": 0.077456,
        "maximum_au": 0.080747,
        "maximum_time_s": 1.16,
        "minimum_au": -0.01598,
        "minimum_time_s": -0.69
      }
    },
    "max_abs_adjacent_slope_au_per_s": {
      "bx": 3.1369,
      "by": 2.4087,
      "bz": 2.8192,
      "reference": 2.4941
    },
    "end_minus_start_median_au": {
      "bx": -0.010589,
      "by": -0.000539,
      "bz": -0.004601,
      "reference": -0.00355
    },
    "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": 0.774546,
      "reference_peak_abs_deviation_au": 0.039324
    },
    "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": 0.64,
          "height_above_baseline_au": 0.483588
        },
        {
          "time_s": 0.98,
          "height_above_baseline_au": 0.373752
        },
        {
          "time_s": 1.22,
          "height_above_baseline_au": 0.364479
        }
      ],
      "first_two_gap_s": 0.34
    },
    "reference_difference": {
      "method": "Bx - 1.0*reference only at simultaneously VALID samples; uncalibrated illustrative difference",
      "coefficient": 1,
      "valid_pairs": 601,
      "baseline_au": 0.031753,
      "maximum_abs_deviation_au": 0.456708,
      "time_of_max_s": 0.64
    }
  },
  "decision": {
    "status": "ABSTAIN",
    "label": "MOTION_ARTIFACT",
    "label_zh": "运动伪迹与目标混叠，弃判",
    "reasons": [
      {
        "basis": "scenario_assumption",
        "note": "模拟车体运动宽脉冲与候选事件重叠，未完成真实源分离",
        "detail": null
      },
      {
        "basis": "computed_feature",
        "note": "Bz有效样本绝对偏差",
        "detail": 0.723448
      }
    ],
    "logic_version": "gr-edge-synthetic-3.0.0",
    "is_trained_diagnostic_model": false,
    "real_vehicle_health": null,
    "diagnostic_confidence": null,
    "quality_state": "ABSTAIN",
    "reasoning_is_synthetic_rule_based": true
  },
  "narrative": {
    "context": "模拟铁磁车体运动在探头附近引起宽形扰动。",
    "result": "运动伪迹与目标混叠，弃判",
    "lesson": "运动伪迹的幅度不能直接解释为机械故障。",
    "evidence_note": "保留数值与质量状态，拒绝生成车辆归因结论"
  },
  "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"
  ]
}