{"id":"W7034498190","doi":"","title":"Toward detecting and classification non-verbal events and biosignals in hearables","year":2022,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Speech Recognition and Synthesis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Pattern recognition (psychology); Artificial neural network; Noise (video); Signal processing; Feature extraction","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002269286,0.00005858998,0.00007433171,0.0002124302,0.0001814777,0.00007199728,0.0001387793,0.00002794615,0.0000298055],"category_scores_gemma":[0.00007086042,0.00006941283,0.000009593838,0.0002356796,0.0000171745,0.00008675529,0.00005674839,0.0001031202,0.000003997313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001501728,"about_ca_system_score_gemma":0.0001822297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003463636,"about_ca_topic_score_gemma":0.002202592,"domain_scores_codex":[0.9993795,0.00004437,0.0001072575,0.0001865858,0.00009954541,0.0001827658],"domain_scores_gemma":[0.9995988,0.00006956092,0.00003018842,0.0001036175,0.0000199057,0.0001778977],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000008983926,0.0000543333,0.02209499,0.00007412031,0.0000254053,0.0002697117,0.003731302,0.0002821146,0.04676748,0.001722301,0.002750306,0.922219],"study_design_scores_gemma":[0.0005945763,0.0001054221,0.3392402,0.00004743113,0.00001543925,0.0002530341,0.002537788,0.6496831,0.000702128,0.003848731,0.00249984,0.0004723817],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9625747,0.0001562125,0.03401322,0.001759199,0.0002559158,0.0001795453,0.00003353376,0.00003167231,0.0009959871],"genre_scores_gemma":[0.993626,0.0000234669,0.005690202,0.0005753629,0.00001431166,0.00001439523,0.000001537543,0.000004767034,0.00004995997],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9217466,"threshold_uncertainty_score":0.5236005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03950968081213772,"score_gpt":0.234180339281389,"score_spread":0.1946706584692512,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}