# Стенд-проверка (stage-2) · промт оператора:

(универсальный)

Ответ агента:

{
  "worked": false,
  "confidence": 9,
  "verdict": "Built and evaluated a custom triangle-rich graph classification track with matched standard and GECC message-passing systems. The trained-model signature confirmed increasing gate activation with closure, but GECC error was 0.098750 versus baseline 0.098125; paired delta was +0.000625 with permutation p=0.816. This is no measurable effect, not a win.",
  "metrics": {
    "baseline": "mean test error 0.098125, best lr 0.003",
    "idea": "mean test error 0.098750, best lr 0.003; paired delta +0.000625, p=0.816"
  },
  "how_to_run": "/home/maxwelhelp/main/bin/python3 gecc_bench.py",
  "files": [
    "gecc_bench.py",
    "bench_report.json"
  ],
  "limitations": "Only the custom graph track was tested because the built-in tracks lack graph message-passing structure. The experiment used a small fixed graph and one layer; larger graphs, deeper oversmoothing, external graph datasets, and speed comparisons were not tested.",
  "bench_report": {
    "track": "custom:gecc_loop_graph",
    "model": "GraphNet",
    "n_seeds": 8,
    "metric_direction": "lower is better",
    "baseline": {
      "best_cfg": {
        "lr": 0.003
      },
      "sweep": [
        {
          "lr": 0.001,
          "mean": 0.1121874964
        },
        {
          "lr": 0.003,
          "mean": 0.0981249986
        },
        {
          "lr": 0.01,
          "mean": 0.0999999978
        }
      ],
      "full_mean": 0.0981249986,
      "full_std": 0.0166653629
    },
    "idea": {
      "best_lr": 0.003,
      "mean": 0.098749998,
      "std": 0.017001838
    },
    "comparison": {
      "delta_mean": 0.0006249994,
      "p_value": 0.816,
      "verdict": "no measurable effect",
      "system_worked": false
    },
    "mechanism_signature": {
      "observed_mean_alpha_by_closure_bin": [
        0.0,
        0.4511,
        0.5375
      ],
      "predicted_order": "low < medium < high",
      "confirmed": true
    },
    "custom_track": {
      "name": "gecc_loop_graph",
      "file": "gecc_bench.py",
      "domain": "graph-nn"
    }
  },
  "system_verdict": "partial",
  "practical_verdict": "no_effect",
  "mechanism_ok": 1,
  "system_judged": true
}