Phase 2: add v2 full eval runner script

eval/run_v2_eval.py

@@ -0,0 +1,41 @@
+import sys, os, json
+sys.path.insert(0, '.')
+from dotenv import load_dotenv
+load_dotenv()
+from eval.run_eval import run_architecture, run_recon_full
+
+questions = json.load(open('eval/questions.json'))
+gt = {e['id']: e for e in json.load(open('eval/ground_truth.json'))}
+
+OUTPUT = 'eval/results/recon_linear_v2_full.csv'
+print(f"Running v2 recon_linear -- {len(questions)} questions")
+print(f"Output: {OUTPUT}")
+print(f"Key changes vs v1: edge reliability scorer, OpenAlex augmentation, trust summary")
+print("=" * 60)
+
+run_architecture(
+    arch_name='recon_linear_v2_full',
+    decay_config='linear',
+    runner_fn=run_recon_full,
+    questions=questions,
+    gt_map=gt,
+    output_path=OUTPUT,
+)
+
+import csv
+rows = list(csv.DictReader(open(OUTPUT, encoding='utf-8')))
+verdicts = [r.get('critic_verdict', '') for r in rows]
+match_rows = [r for r in rows if r.get('position_accuracy', '').upper() == 'MATCH']
+stale_rows = [r for r in rows if r.get('critic_verdict') == 'STALE']
+contra_rows = [r for r in rows if r.get('critic_verdict') == 'CONTRADICTED']
+cat_b = [r for r in rows if r.get('category') == 'B']
+cat_b_stale = [r for r in cat_b if r.get('staleness_caught', '') == '1']
+
+print(f"\n=== v2 FINAL RESULTS ({len(rows)}/130) ===")
+print(f"Verdict distribution: { {v: verdicts.count(v) for v in sorted(set(verdicts))} }")
+print(f"STALE: {len(stale_rows)}/130 | CONTRADICTED: {len(contra_rows)}/130")
+print(f"Staleness catch rate (Cat B): {len(cat_b_stale)}/{len(cat_b)} = {len(cat_b_stale)/max(len(cat_b),1)*100:.1f}%")
+print(f"Position accuracy (MATCH): {len(match_rows)}/130 = {len(match_rows)/130*100:.1f}%")
+print(f"\n--- vs baselines ---")
+print(f"v1 staleness catch rate: 52.0% | v2: {len(cat_b_stale)/max(len(cat_b),1)*100:.1f}%")
+print(f"v1 position accuracy:    43.9% | v2: {len(match_rows)/130*100:.1f}%")