{
  "report_schema_version": "3.0.0",
  "analysis_version": "gr-edge-synthetic-3.0.0",
  "report_id": "GRV3-SIM-10",
  "scenario": {
    "id": "SIM-10",
    "title": "金属维护推车经过探头",
    "subtitle": "非车辆物体也留下磁变化",
    "page_path": "/gaterestart/simulations/metal-object/",
    "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": 110,
    "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": [
      "maintenance_cart"
    ],
    "target_restart_injected": false,
    "injected_component_names": [
      "maintenance_cart_pass"
    ],
    "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": 0.017391,
      "by": -0.006373,
      "bz": 0.005921,
      "reference": 0.000789
    },
    "peak_by_channel": {
      "bx": {
        "absolute_deviation_au": 0.583088,
        "absolute_deviation_time_s": 0.93,
        "signed_deviation_au": 0.583088,
        "maximum_au": 0.600479,
        "maximum_time_s": 0.93,
        "minimum_au": -0.01061,
        "minimum_time_s": 2.96
      },
      "by": {
        "absolute_deviation_au": 0.292941,
        "absolute_deviation_time_s": 0.97,
        "signed_deviation_au": -0.292941,
        "maximum_au": 0.011244,
        "maximum_time_s": 3.37,
        "minimum_au": -0.299314,
        "minimum_time_s": 0.97
      },
      "bz": {
        "absolute_deviation_au": 0.634462,
        "absolute_deviation_time_s": 0.93,
        "signed_deviation_au": 0.634462,
        "maximum_au": 0.640383,
        "maximum_time_s": 0.93,
        "minimum_au": -0.009004,
        "minimum_time_s": -1
      },
      "reference": {
        "absolute_deviation_au": 0.156767,
        "absolute_deviation_time_s": 0.97,
        "signed_deviation_au": 0.156767,
        "maximum_au": 0.157556,
        "maximum_time_s": 0.97,
        "minimum_au": -0.026789,
        "minimum_time_s": 2.37
      }
    },
    "max_abs_adjacent_slope_au_per_s": {
      "bx": 4.1196,
      "by": 2.9684,
      "bz": 4.0727,
      "reference": 2.5886
    },
    "end_minus_start_median_au": {
      "bx": -0.005189,
      "by": -0.005155,
      "bz": 0.003246,
      "reference": -0.005235
    },
    "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": 0.966991,
      "reference_peak_abs_deviation_au": 0.063926
    },
    "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": 0.93,
          "height_above_baseline_au": 0.571159
        }
      ],
      "first_two_gap_s": null
    },
    "reference_difference": {
      "method": "Bx - 1.0*reference only at simultaneously VALID samples; uncalibrated illustrative difference",
      "coefficient": 1,
      "valid_pairs": 601,
      "baseline_au": 0.018554,
      "maximum_abs_deviation_au": 0.437381,
      "time_of_max_s": 0.93
    }
  },
  "decision": {
    "status": "ABSTAIN",
    "label": "NON_VEHICLE_SOURCE",
    "label_zh": "非车辆来源设定，弃判",
    "reasons": [
      {
        "basis": "scenario_assumption",
        "note": "推车身份只由合成场景设定提供，非磁迹自动识别",
        "detail": null
      }
    ],
    "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": "虚构维护人员推金属工具车经过；波形是非车辆扰动。",
    "result": "非车辆来源设定，弃判",
    "lesson": "磁迹本身不包含车源或人员身份。",
    "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"
  ]
}