{"id":"W4386919815","doi":"10.1109/sas58821.2023.10254050","title":"Domestic Sound Classification with Deep Learning","year":2023,"lang":"en","type":"article","venue":"","topic":"Music and Audio Processing","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bruyère; National Research Council Canada; Carleton University","funders":"","keywords":"Computer science; Sound (geography); Deep learning; Artificial intelligence; Speech recognition; Geology; Oceanography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000127072,0.00004760149,0.00004665851,0.00005797074,0.000149557,0.0001635299,0.0002027698,0.00001663659,0.00002032873],"category_scores_gemma":[0.00002191196,0.00003408507,0.000009483552,0.0005761059,0.00002053071,0.000259509,0.00005176627,0.00006661078,0.0003565857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009919366,"about_ca_system_score_gemma":0.00002341259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002438258,"about_ca_topic_score_gemma":0.000003354296,"domain_scores_codex":[0.9994745,0.00001452115,0.00006243348,0.0001763695,0.0001335556,0.0001385867],"domain_scores_gemma":[0.9997135,0.00005055089,0.00003371687,0.0001390184,0.00002964361,0.00003358734],"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":[0.000005239425,0.00003024146,0.01339939,0.00005993677,0.00001899001,0.00005739091,0.003197773,0.005854025,0.002242758,0.2025363,0.00229964,0.7702984],"study_design_scores_gemma":[0.0002345624,0.00006114061,0.04248895,0.00002427701,0.000004246239,0.00002969502,0.0002875609,0.9381539,0.0002186722,0.01191856,0.006375974,0.0002024906],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0311908,0.0000143486,0.949131,0.001118899,0.00005170948,0.00002802736,1.271972e-8,0.0005313716,0.01793383],"genre_scores_gemma":[0.9783469,0.000003479251,0.01826766,0.000252803,0.00002959231,0.000005424692,0.000001253153,0.000004191098,0.003088694],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9471561,"threshold_uncertainty_score":0.4583306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03188764125724858,"score_gpt":0.2713457212110858,"score_spread":0.2394580799538372,"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."}}