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…t in models.py Add a Behavioral outputs table linking to the new Definition of behaviors docs page. The ResultItem.task description listed politeness, which the API does not return, and missed engagement, intensity and generator. Co-Authored-By: Claude Opus 5.5 <[email protected]>
README explains that posteriors are scores and how to derive valence and arousal from positivity and strength. MCP get_result rows now carry every label's probability (2 decimals) instead of a single confidence. print_results showed the top label's probability next to finalLabel; it now shows the probability of finalLabel. Co-Authored-By: Claude Opus 5.5 <[email protected]>
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Positivity is valence and strength is arousal. The README table gets per-task counts, the 5,184 profiles, the per-task meaning of neutral, the short-utterance rule and the global speaking rate scale. ResultItem.task groups tasks by kind. Checked with blind agent Q&A runs. Co-Authored-By: Claude Opus 5.5 <[email protected]>
…ance outputs Checked against modeling_api and live API runs: - finalLabel is the top label for behavioral tasks - gender and age are per speaker; utterances of 1 s or less get only diarization, asr and language - open-ended outputs, grouping by utterance and speaker, intensity wording - models.py: embedding sizes (192 speaker, 768 behavioral), level, dominantInSegments Co-Authored-By: Claude Opus 5.5 <[email protected]>
- outputs are estimates from the voice, not facts about the speaker - "estimate behavioral signals" instead of "analyze human behavior" - mark video deepfake detection as experimental in the MCP tool Co-Authored-By: Claude Opus 5.5 <[email protected]>
apetrogianni
reviewed
Oct 5, 2026
apetrogianni
previously approved these changes
Oct 5, 2026
Co-Authored-By: Claude Opus 5.5 <[email protected]>
Co-Authored-By: Claude Opus 5.5 <[email protected]>
apetrogianni
approved these changes
Oct 5, 2026
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ruff check,ruff format,mypy srcandpytestREADME.mdandexamples/, if usage changedversioninpyproject.tomland ranuv lock, if this needs a release