{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005403728,0.001625345,0.000935732,0.001081807,0.0003213762,0.0007808108,0.001445499,0.00150628,0.002708215],"category_scores_gemma":[0.001171816,0.0003180017,0.0009528383,0.001243342,0.0003152974,0.001059517,0.0009710254,0.001294501,0.001832194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006424898,"about_ca_system_score_gemma":0.0006333233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008242199,"about_ca_topic_score_gemma":0.01238136,"domain_scores_codex":[0.999637,0.00005809449,0.00001996248,0.0001435619,0.00006071233,0.00008067368],"domain_scores_gemma":[0.9996399,0.0001146394,0.00002473534,0.00007941855,0.0001098665,0.00003139428],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004244043,0.0006112258,0.004180097,0.0001256094,0.0002061978,0.0001637125,0.00005141091,0.217861,0.009518092,0.00119679,0.01914,0.7465215],"study_design_scores_gemma":[0.00001140434,0.00004700478,0.0005280254,0.000009125928,0.00001582776,0.00002011995,0.00002026124,0.9958006,0.001811472,0.0009695671,0.0007587677,0.000007889846],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3582337,0.004390224,0.6022894,0.001242438,0.001089669,0.0002032581,0.00357859,0.01610983,0.01286296],"genre_scores_gemma":[0.8902892,0.0005735246,0.09044058,0.0006360637,0.0001768683,0.0001246627,0.006313577,0.0002132912,0.01123212],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008242199,"threshold_uncertainty_score":0.01638842,"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."}}