add transfer affinity matrix to README

README.md

@@ -42,6 +42,19 @@ Autonomous discovery of optimal training curricula for biomedical NER, using Kar
 | Baseline (bc5cdr_chem only) | 0.8090 ± 0.005 | — |
 | + 3-stage curriculum (jnlpba→disease→chem) | 0.8195 ± 0.002 | **+1.3%** |
 
+### Transfer Affinity Matrix (ΔF1 from 50/50 pretrain→finetune)
+
+Source ↓ · Target → | **ncbi_disease** | **bc5cdr_chem**
+:--|:--:|:--:
+*No pretrain (baseline)* | *0.8033* | *0.8090*
+**bc5cdr_chem** | **+0.044** | —
+**ncbi_disease** | — | -0.001
+**jnlpba** | +0.013 | -0.004
+**bc2gm** | -0.007 | -0.001
+**linnaeus** | -0.033 | +0.001
+
+**Reading the matrix:** each cell shows the F1 change when pretraining on the source (row) before fine-tuning on the target (column). Bold = significant positive transfer.
+
 ### Key Discovery: Asymmetric Transfer
 
 | Direction | Improvement | Pretrain Budget |