Full pipeline per README command flow (steps 2-6): univariate averages and
distributions, multivariate analysis (2-cluster k-means: 209 relational vs
199 institutional; PCA/t-SNE/UMAP/factor/correlation/network/importance),
LDA separation and overlaid cluster plots, and LDA classifications (trained
on the 1.2.6 run via version-matched auto-selection). Cross-version summary
is on the console report: avg Euclidean distance 9.06 vs 1.2.6 (r=0.79).
411 protocols × 23 gradients scored against bicorder.json v1.4.0 with
gpt-oss:20b-cloud (same analyst standpoint as the 1.2.6 run); the
bicorder_version column makes the run self-describing. Analysis outputs to
follow in data/synthetic_1.4.0/analysis/.
Nathan Schneider