[
  {
    "_note": "refugelike (resnet50 + REFUGE fundus pretraining), freeze stem only (1/5 blocks). Tests whether even minimal anchoring helps stability. Bumped to 10 reps for the methods ablation table.",
    "run_name": "experiments/freeze_sweep/refugelike_freeze20",
    "reps": 10,
    "tower_overrides": {
      "img": { "args": { "backbone": "refugelike", "freeze_ratio": 0.2 } }
    }
  },

  {
    "_note": "Freeze stem + layer1 (2/5 blocks). Keeps low-level conv filters fixed, lets layers 2-4 + fc adapt. Bumped to 10 reps to confirm the 0.9105 result vs the 10-rep baseline_ensemble at 0.8958.",
    "run_name": "experiments/freeze_sweep/refugelike_freeze40",
    "reps": 10,
    "tower_overrides": {
      "img": { "args": { "backbone": "refugelike", "freeze_ratio": 0.4 } }
    }
  },

  {
    "_note": "Freeze stem + layer1 + layer2 (3/5 blocks). Only the deep semantic layers adapt — most aggressive practical setting before model loses capacity. Bumped to 10 reps for the methods ablation table.",
    "run_name": "experiments/freeze_sweep/refugelike_freeze60",
    "reps": 10,
    "tower_overrides": {
      "img": { "args": { "backbone": "refugelike", "freeze_ratio": 0.6 } }
    }
  },

  {
    "_note": "Fully frozen backbone (freeze_ratio=1.0) — image features are entirely fixed at the REFUGE-pretrained state, only the L1 bridge and downstream heads adapt. Provides the extreme end of the freeze-ratio sweep for the methods ablation table.",
    "run_name": "experiments/freeze_sweep/refugelike_freeze100",
    "reps": 10,
    "tower_overrides": {
      "img": { "args": { "backbone": "refugelike", "freeze_ratio": 1.0 } }
    }
  }
]
