{"id":"W4226140415","doi":"","title":"Audio Classification: Environmental sounds classification","year":2021,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Music and Audio Processing","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Speech recognition","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":[0.001043357,0.00171424,0.0009772927,0.002826153,0.00101782,0.003544916,0.001414627,0.001995809,0.0177872],"category_scores_gemma":[0.003022379,0.0003017989,0.0009288826,0.003146652,0.0007782131,0.002748236,0.001421356,0.001467035,0.01200597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007560973,"about_ca_system_score_gemma":0.001166021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004150329,"about_ca_topic_score_gemma":0.003999522,"domain_scores_codex":[0.9987085,0.0001536016,0.00007065543,0.0004263214,0.0004663294,0.0001747067],"domain_scores_gemma":[0.9987565,0.0002535615,0.0001254705,0.0001993854,0.0005606174,0.000104354],"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":[0.0003002657,0.0002047754,0.004529908,0.0006020956,0.00007821434,0.000209982,0.00008776298,0.007820487,0.01920142,0.0124122,0.02601441,0.9285386],"study_design_scores_gemma":[0.0001424012,0.0005929847,0.03974489,0.000773725,0.0003982645,0.002339312,0.0007560349,0.3967178,0.09315903,0.1022834,0.3628168,0.0002753585],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03001416,0.007312187,0.886287,0.003008871,0.002691996,0.0005347176,0.004498271,0.008202162,0.05745066],"genre_scores_gemma":[0.3492797,0.008597933,0.5356875,0.002149282,0.004916302,0.0008434847,0.0129059,0.001084419,0.08453543],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0177872,"threshold_uncertainty_score":0.05950409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02438925551370333,"score_gpt":0.226577938105316,"score_spread":0.2021886825916126,"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."}}