masked_data_RG_80nM, run 0ea10b86
Status failed, stage inspector, UnexpectedModelBehavior: Exceeded maximum output retries (3); requested by project lead; worker worker; started 2026-10-28 15:44 UTC, finished 2026-10-28 15:46 UTC, 90 s
Stages
| Stage | Started | Seconds |
|---|---|---|
| claimed | 15:44:47 | 0.6 |
| inspector | 15:44:48 | 89.6 |
Log
| Time | Agent | Action | Detail |
|---|---|---|---|
| 15:43:57 | web | recording uploaded | {"by": "project lead", "file": "masked_data_RG_80nM.mat", "frames": 3800, "recording_id": "fd37b915-d1c3-42d1-8975-98464215d978", "run_id": "0ea10b86-3aa5-419b-ac9a-680f831e80f9", "sha256": "9e30977de373f78d1b5d236bd100e46bb79c72152d3a7516b9c03c4849391076"} |
| 15:44:45 | web | run queued | {"by": "project lead", "recording_id": "fd37b915-d1c3-42d1-8975-98464215d978", "run_id": "0ea10b86-3aa5-419b-ac9a-680f831e80f9", "storage_path": "uploads/public/9e30977de373f78d/masked_data_RG_80nM.mat"} |
| 15:46:18 | runner | run failed | {"error": "UnexpectedModelBehavior(\u0027Exceeded maximum output retries (3)\u0027)", "run_id": "0ea10b86-3aa5-419b-ac9a-680f831e80f9", "trace": " for event in stream:\n File \"/Users/xx/Documents/Code/quantetta-a/.venv/lib/python3.12/site-packages/pydantic_ai/_agent_graph.py\", line 266, in _with_event_stream_buffer\n async for event in stream:\n File \"/Users/xx/Documents/Code/quantetta-a/.venv/lib/python3.12/site-packages/pydantic_ai/_agent_graph.py\", line 2935, in _run_stream\n async for event in events:\n File \"/Users/xx/Documents/Code/quantetta-a/.venv/lib/python3.12/site-packages/pydantic_ai/_agent_graph.py\", line 2898, in _run_stream\n async for event in events:\n File \"/Users/xx/Documents/Code/quantetta-a/.venv/lib/python3.12/site-packages/pydantic_ai/_agent_graph.py\", line 3034, in _handle_tool_calls\n async for event in events:\n File \"/Users/xx/Documents/Code/quantetta-a/.venv/lib/python3.12/site-packages/pydantic_ai/_tool_execution.py\", line 386, in process_tool_calls\n async for event in events:\n File \"/Users/xx/Documents/Code/quantetta-a/.venv/lib/python3.12/site-packages/pydantic_ai/_tool_execution.py\", line 522, in run\n async for event in events:\n File \"/Users/xx/Documents/Code/quantetta-a/.venv/lib/python3.12/site-packages/pydantic_ai/_tool_execution.py\", line 1240, in _run_strategy\n async for event in self._run_output(call): # pragma: no branch\n File \"/Users/xx/Documents/Code/quantetta-a/.venv/lib/python3.12/site-packages/pydantic_ai/_tool_execution.py\", line 627, in _run_output\n raise r.raise_exc\npydantic_ai.exceptions.UnexpectedModelBehavior: Exceeded maximum output retries (3)\n"} |
Entries from the audit log for this run; new rows and stage changes arrive by realtime while the run is open (connecting).
Pipeline check
[no pipeline check stored for this run]
Inspector
This is a 128 × 80 rat whole-heart ventricular-fibrillation optical mapping recording associated with rotigaptide 80 nM, with 3800 frames and an on-record frame rate of 1000 Hz from the uploader; the linked paper independently states 1000 frames/s and the same 128 × 80 camera size. Treat it as preprocessed rather than raw: the paper documents 3-by-3 spatial binning, 0–100 Hz low-pass filtering, baseline-drift removal, and normalization, consistent with the measured unit range and strong temporal/spatial smoothing flags. The measured signal polarity is non-inverted, while RH237 would normally dim on depolarization, so the sign appears flipped before deposit but is consistent across all blocks. Use the frame-0 NaN tissue mask, be cautious interpreting SNR because smoothing inflates it, and use the actual 3.8 s duration rather than the paper's generic 10 s recording duration.
| Measurement | Value | Method, Caveat |
|---|---|---|
| SNR, median (p10–p90) | 18.8 (13.9–25.9) | assumes white noise; on temporally smoothed deposits noise is underestimated and SNR inflated |
| Mask coverage | 50.9%, 5216 of 10240 px | depositor NaN mask (frame 0) |
| Polarity | blocks 7, inverted False, blocks agreeing 7, median dvdt skew 0.08132843673229218 | sign of median per-pixel skew of dV/dt, baseline-corrected (121 frames) |
| Drift / bleaching | baseline change -0.0108, vs beat amplitude -0.0979, slow range 0.162, trend, Spearman -0.356 | running median (381 frames) of the tissue-mean raw signal; steps from events (light, rhythm change) and depositor normalization or drift removal change or erase the baseline; bleaching cannot be separated from them here |
| Prior processing | unit range, non integer, nan mask partial, temporal smoothing, spatial smoothing | deposit checks |
| Dominant cycle by block, frames | 0–1000: 25.0, 1000–2000: 26.3, 2000–3000: 25.0, 3000–3800: 25.0 |
| Concern | Severity | Detail |
|---|---|---|
| pre-deposit processing | warn | The recording is already processed: prior-processing flags show unit-range data [0.0, 1.0], very low integer fraction 0.0003442292944785276, temporal-smoothing metric 0.959237783400513, and spatial-smoothing metric 0.9479694003115444. These are largely explained by the paper's normalization, 0–100 Hz low-pass filtering, and 3-by-3 spatial binning, but analyses that assume raw camera counts or unfiltered noise would be misleading. |
| polarity/sign | warn | Measured polarity is non-inverted even though RH237 normally dims on depolarization, so the depositor appears to have flipped the sign. Because all 7 of 7 measured blocks agree, this should not make analysis wrong if the pipeline orients polarity from measurement. |
| mask convention | warn | Only frame 0 has the NaN mask; other frames carry non-tissue values. Downstream analysis must use the measured/depositor mask rather than treating all finite pixels in later frames as tissue. |
| duration relative to paper methods | info | The linked paper says recordings were 10 seconds long at 1000 frames/s, but this uploaded file has 3800 frames, i.e. 3.8 seconds at the on-record 1000 Hz frame rate. Duration-sensitive analyses should use the actual frame count, not the paper's general acquisition duration. |
| provisional tool thresholds | info | Conclusions from prior-processing flags, SNR caveats, rhythm detection, and reference-rate machinery depend on provisional thresholds/rates that have not yet been reviewed by a domain scientist. In this case no physiology-inferred frame rate was needed because the uploader and paper state the frame rate. |
Inspector report 2026-10-28 15:50 UTC, model openai:gpt-5.5, provisional. Median per-pixel SNR over tissue is 18.818067017408147, with p10 13.893293967898506 and p90 25.936276941781777, using 3000 frames. The SNR tool cautions that temporally smoothed deposits can have underestimated noise and inflated SNR; this recording shows a temporal-smoothing flag. Mask coverage comes from a depositor NaN mask in frame 0: 5216 tissue pixels out of 10240 total pixels, coverage 0.509375, with 5024 NaN pixels in frame 0. No stored events were returned, no acquisition log is present, and no detected light transitions or image baseline-step events were returned. Therefore there are no event causes to assign for this file; in particular, without an acquisition log, no image baseline change could be called illumination. The acquisition-log result explicitly says there is no acquisition log in the deposit. The tissue-mean slow baseline starts at 0.4981755316257477 and ends at 0.48741528391838074, a change of -0.010760247707366943, which is -0.09788043294092134 of the p5–p95 beat amplitude. The slow baseline range is 0.1622154712677002 and the monotonic trend Spearman value is -0.3557674750723145. The drift/bleaching tool cautions that baseline steps, depositor normalization, and drift removal can change or erase the baseline, so bleaching cannot be separated here.
Range checks
| Metric | Segment | Value at Run Setting | Cited Range | Status |
|---|---|---|---|---|
| [no critic verdict for this run] | ||||
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