节点 n3

Looking at the results, `scale_damp` changes (0.8 and 1.2) didn't help. The stderr shows `t=0.4`, `z_dot=1.0`, `z_flipped=false`. Let me try changing the `align` parameter from "procrustes" to something else, or try a different `scale_damp` value closer to the default.

Since `scale_damp` at both 0.8 and 1.0 gave nearly identical scores (~59.13-59.15), the parameter has minimal effect. Let me try changing `align` to `"identity"` to test if removing rotation helps, or try `scale_damp` at 1.5 for a more aggressive test.

Actually, looking more carefully: the parent baseline is 59.150 and I need >60.150. The scale_damp changes barely moved things. Let me try a more impactful parameter: changing `align` from "procrustes" to another option. Common alignment methods might include "identity", "pca", "cca", etc. But without knowing the available options, let me try something safer.

Looking at the docstring: "puts both in one frame (``ALIGN``), rescales both clouds to the log-linear RMS". The method draws cells stratified by type with `round(t·n)` from later stage. 

Let me try `scale_damp` at 0.5 — a stronger reduction that might help shape_scale more meaningfully, or try `align` = "identity" to skip rotation entirely (which could help if rotation introduces artifacts for shape/spatial metrics).

I'll try `align` = "identity":

CHANGE: align from "procrustes" to "identity" to skip rotation between stages, testing whether the Procrustes rotation distorts spatial structure and hurts shape_scale/local_spatial scores.

<<<<<<< SEARCH
PARAMS = {"align": "procrustes", "scale_damp": 1.0}
=======
PARAMS = {"align": "identity", "scale_damp": 1.0}
>>>>>>> REPLACE