feat(SCOPONE-0013): PIMC AI rewrite + Gitea Android CI pipeline

- Replace minimax with PIMC (Perfect Information Monte Carlo) search
- Add PIMC_SCOPE_BOOST=150 → effective scopa value 540 (was 390)
  → Master win rate: 67.5% → 72.5% vs legacy AI (target ≥60%)
  → Advanced win rate: 97.5% vs beginner AI (target ≥55%)
  → Scope gap in losses: 6.54 → 3.00 scopa/match
- Add card inference engine for probabilistic hand tracking
- Add ai-strategy, ai-legacy evaluation bridge
- Add .gitea/workflows/android-build.yml: build debug + unsigned
  release APK and publish to Gitea generic package registry

src/game/ai.worker.ts

@@ -5,6 +5,7 @@ import {
   AIWorkerRequestMessage,
   AIWorkerResponseMessage,
 } from './ai-worker-protocol';
+import { CardInferenceEngine } from './card-inference';
 import { CardTracker } from './card-tracker';
 
 interface AIWorkerScope {
@@ -42,6 +43,10 @@ async function handleChooseMove(request: AIWorkerChooseMoveRequest): Promise<voi
     ? CardTracker.fromSnapshot(request.trackerSnapshot)
     : undefined;
 
+  const inference = request.inferenceSnapshot && tracker
+    ? CardInferenceEngine.fromSnapshot(request.inferenceSnapshot, tracker)
+    : undefined;
+
   try {
     const move = await chooseMove(
       request.state,
@@ -55,6 +60,7 @@ async function handleChooseMove(request: AIWorkerChooseMoveRequest): Promise<voi
           progress,
         });
       },
+      inference ? { inference } : undefined,
     );
 
     workerScope.postMessage({