将场加权标定模型接入回放分析

回放按声明的 30 帧加权空载窗口取基线并逐帧保存外推质量，field 模型单独进缓存键，实时入口拒绝。
新增测试覆盖窗口、质量与拒绝路径。全量门禁的 scene3d 两项失败与 studio 访问冲突为既有问题，
已归因并另立 studio-gate-hang。

shared/tests/test_multical_integration.py

@@ -182,3 +182,39 @@ def test_video_unloaded_reference_is_explicit_and_requires_the_whole_interval(mo
         assert len(list(processor._pass_frames(state))) == frame_count
         assert applied == [{"fn": 100.}]
         assert state.provenance.counts["unloaded_reference_frames"] == 30
+
+
+def test_a_field_model_reading_keeps_raw_and_reports_weighted_quality(tmp_path):
+    """The field model is a different zeroing protocol, not a different validity rule.
+
+    Its reading carries the SDK's weighted diagnostics; the app must keep the raw
+    counts while the baseline is pending and report the extrapolated fraction as
+    quality (0.0 is a real value, "no diagnostics" is unknown).
+    """
+    from orisys_app_shared.acquisition.sdk_worker import read_forces_from_sensor
+    from orisys_app_shared.analysis.model import ForceSample
+
+    from _field_fakes import FakeFieldSensor  # tests' own SDK double
+
+    sensor = FakeFieldSensor()
+    sensor.declare_unloaded_reference(reference_id="unloaded-1")
+    sensor.step()
+    reading = read_forces_from_sensor(sensor)
+    assert reading["calibration_status"] == {"fn": "zero_unavailable"}
+    assert reading["calibration_diagnostics"]["pending_reference_frames"] == 1
+    sample = ForceSample.from_reading(reading)
+    assert sample.valid and sample.normal_raw == pytest.approx(100.0)
+    assert math.isnan(sample.normal)
+    # Quality is a statement about the frame's support, available while the baseline
+    # is still pending; only absent diagnostics mean "unknown".
+    assert sample.field_quality() == pytest.approx((0.4, 0.9))
+    reading.pop("calibration_diagnostics")
+    assert ForceSample.from_reading(reading).field_quality() is None
+
+    for _ in range(30):
+        sensor.step()
+    ready = read_forces_from_sensor(sensor)
+    assert ready["calibration_status"] == {"fn": "ok"}
+    ready_sample = ForceSample.from_reading(ready)
+    assert ready_sample.normal == pytest.approx(1.5)
+    assert ready_sample.field_quality() == pytest.approx((0.2, 0.97))