feat: make model age admission-only

tests/test_candidate_preflight.py

@@ -385,6 +385,8 @@ class CandidatePreflightTests(unittest.TestCase):
                 model_profile={"modelType": "qwen3", "quantizationMethod": "awq"},
             )
             tracker._records[0]["outcome"] = "failed"  # noqa: SLF001
+            tracker._records[0]["failureCategory"] = "model_load"  # noqa: SLF001
+            tracker._records[0]["failureScope"] = "model_gpu_framework"  # noqa: SLF001
             report = tracker.get_stats_report()
 
         key = "gpu|vllm|text-generation|qwen3|awq"
@@ -830,8 +832,50 @@ class CandidatePreflightTests(unittest.TestCase):
             self.assertEqual(1, combo["platformFailureCount"])
             self.assertEqual(0, profile["consecutiveFailures"])
             self.assertFalse(tracker.is_model_gpu_failed("owner/model", "gpu"))
+            self.assertEqual([], tracker.get_strategy_history_records())
             self.assertNotIn("logCosUrl", read_jsonl(path)[0])
 
+    def test_ambiguous_failure_is_unresolved_and_does_not_poison_strategy_feedback(self) -> None:
+        with tempfile.TemporaryDirectory() as temporary_dir:
+            path = Path(temporary_dir) / "outcomes.jsonl"
+            tracker = OutcomeTracker(path)
+            tracker.record_submission(
+                "owner/model",
+                "gpu",
+                "vllm",
+                "text-generation",
+                "task-ambiguous",
+                datetime.now(timezone.utc).isoformat(),
+            )
+            task = {
+                "taskId": "task-ambiguous",
+                "status": "failed",
+                "verifyResult": -1,
+                "logCosUrl": "https://logs.invalid/task-ambiguous.zip",
+            }
+            classification = {
+                "failureCategory": "ambiguous_runtime",
+                "failureScope": "unknown",
+                "failureAction": "offline_review",
+                "failureNeedsLlm": False,
+            }
+            with patch(
+                "outcome_tracker.fetch_and_classify_failure_log",
+                return_value=classification,
+            ):
+                tracker.sync_from_api(TaskClient([task]))  # type: ignore[arg-type]
+
+            combo = tracker.get_stats_report()["combinationStats"][
+                "gpu|vllm|text-generation"
+            ]
+
+        self.assertEqual(1, combo["failureCount"])
+        self.assertEqual(0, combo["attributableFailureCount"])
+        self.assertEqual(0, combo["platformFailureCount"])
+        self.assertEqual(1, combo["unresolvedFailureCount"])
+        self.assertFalse(tracker.is_model_gpu_failed("owner/model", "gpu"))
+        self.assertEqual([], tracker.get_strategy_history_records())
+
     def test_failed_log_enrichment_attempt_is_persisted_and_bounded(self) -> None:
         with tempfile.TemporaryDirectory() as temporary_dir:
             path = Path(temporary_dir) / "outcomes.jsonl"