[
  {
    "_note": "1) Baseline classification — sanity check that the runner refactor didn't break anything. Should match baseline_ensemble at 0.896.",
    "run_name": "experiments/reg_head/baseline_class",
    "reps": 3
  },

  {
    "_note": "2) Same architecture as baseline, but all heads (img_aux, cd_aux, nt_head, hb_head) are regression heads targeting vf_md. label_filter expanded to include suspect patients (label=2) since regression handles continuous targets naturally.",
    "run_name": "experiments/reg_head/baseline_reg",
    "reps": 3,
    "overrides": {
      "label_filter": [0, 1, 2]
    },
    "stage_overrides": {
      "img_aux": {
        "module": "v4.classes.heads.regression",
        "class":  "RegressionHead",
        "args":   { "dropout": 0.3, "target_key": "vf_md", "loss": "mse" }
      },
      "cd_aux": {
        "module": "v4.classes.heads.regression",
        "class":  "RegressionHead",
        "args":   { "dropout": 0.3, "target_key": "vf_md", "loss": "mse" }
      },
      "nt_head": {
        "module": "v4.classes.heads.regression",
        "class":  "RegressionHead",
        "args":   { "dropout": 0.3, "target_key": "vf_md", "loss": "mse" }
      },
      "hb_head": {
        "module": "v4.classes.heads.regression",
        "class":  "RegressionHead",
        "args":   { "dropout": 0.3, "target_key": "vf_md", "loss": "mse" }
      }
    }
  },

  {
    "_note": "3) OrthoBridge (w=0.1) wrapping Hadamard inner + regression heads",
    "run_name": "experiments/reg_head/ortho_reg",
    "reps": 3,
    "overrides": {
      "label_filter": [0, 1, 2]
    },
    "stage_overrides": {
      "nt": {
        "module": "v4.classes.bridges.ortho_bridge",
        "class":  "OrthoBridge",
        "args": {
          "fusion_dim":   256,
          "ortho_weight": 0.1,
          "inner_module": "v4.classes.bridges.fusion_bridge",
          "inner_class":  "FusionBridge",
          "inner_args":   { "fusion_dim": 256 }
        }
      },
      "img_aux": {
        "module": "v4.classes.heads.regression",
        "class":  "RegressionHead",
        "args":   { "dropout": 0.3, "target_key": "vf_md", "loss": "mse" }
      },
      "cd_aux": {
        "module": "v4.classes.heads.regression",
        "class":  "RegressionHead",
        "args":   { "dropout": 0.3, "target_key": "vf_md", "loss": "mse" }
      },
      "nt_head": {
        "module": "v4.classes.heads.regression",
        "class":  "RegressionHead",
        "args":   { "dropout": 0.3, "target_key": "vf_md", "loss": "mse" }
      },
      "hb_head": {
        "module": "v4.classes.heads.regression",
        "class":  "RegressionHead",
        "args":   { "dropout": 0.3, "target_key": "vf_md", "loss": "mse" }
      }
    }
  },

  {
    "_note": "4) PairwiseAdditiveBridge + regression heads",
    "run_name": "experiments/reg_head/pairwise_reg",
    "reps": 3,
    "overrides": {
      "label_filter": [0, 1, 2]
    },
    "stage_overrides": {
      "nt": {
        "module": "v4.classes.bridges.pairwise_bridge",
        "class":  "PairwiseAdditiveBridge",
        "args":   { "fusion_dim": 256 }
      },
      "img_aux": {
        "module": "v4.classes.heads.regression",
        "class":  "RegressionHead",
        "args":   { "dropout": 0.3, "target_key": "vf_md", "loss": "mse" }
      },
      "cd_aux": {
        "module": "v4.classes.heads.regression",
        "class":  "RegressionHead",
        "args":   { "dropout": 0.3, "target_key": "vf_md", "loss": "mse" }
      },
      "nt_head": {
        "module": "v4.classes.heads.regression",
        "class":  "RegressionHead",
        "args":   { "dropout": 0.3, "target_key": "vf_md", "loss": "mse" }
      },
      "hb_head": {
        "module": "v4.classes.heads.regression",
        "class":  "RegressionHead",
        "args":   { "dropout": 0.3, "target_key": "vf_md", "loss": "mse" }
      }
    }
  }
]