feat(rewards): add sentiment mismatch penalty to prevent extraction reward hacking

fix(probe): use TRL 0.24.0 log keys — rewards/commerce_reward_fn/mean, grad_norm (not train/ prefix)

fix(classifier): reorder _classify_task_type — insights before push to prevent reengajamento misclassification

fix(rewards): 3 bugs from Cell 8 audit — push length/formal, SQL domain, extraction int check

Fix V4.2 audit: show INPUT REVIEW alongside MODEL OUTPUT for proper human scoring

Fix V4.2: task weights 40/40/10/10, full audit completions, interactive input() scoring

Fix V4.2: GDPO + IWU now active in training reward path (not just monitoring)

Add V4.2 GRPO training notebook (Gold Standard, 0.5B)