{"id":"W2017106355","doi":"10.1121/1.2933537","title":"Two-level description of environmental sounds: comparison and generalization of 4 timbre studies","year":2008,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Music and Audio Processing","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Centre for Interdisciplinary Research in Music Media and Technology","funders":"","keywords":"Timbre; Computer science; Generalization; Speech recognition; Bioacoustics; Perception; Class (philosophy); Sound (geography); Acoustics; Feature (linguistics); Artificial intelligence; Mathematics; Linguistics","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":["metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.001851619,0.000687861,0.0007312218,0.004266097,0.0005467557,0.002176062,0.001046386,0.0009631816,0.003593541],"category_scores_gemma":[0.00838169,0.000305547,0.001082416,0.002114185,0.0008581263,0.002875003,0.001588798,0.00104759,0.001158272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004956456,"about_ca_system_score_gemma":0.0003262566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009821212,"about_ca_topic_score_gemma":0.0008891468,"domain_scores_codex":[0.9987908,0.0003046103,0.0001551468,0.0002909274,0.0003474816,0.000111133],"domain_scores_gemma":[0.9947666,0.001828092,0.0005749019,0.001691049,0.0009376326,0.0002017577],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.002738001,0.0005115374,0.06174657,0.00135976,0.0004268239,0.00087179,0.002824195,0.03507949,0.1425806,0.02600714,0.003201228,0.7226529],"study_design_scores_gemma":[0.0003157434,0.00253668,0.2937839,0.0005876662,0.0008243539,0.003351734,0.003723535,0.493891,0.05660151,0.1067674,0.03696964,0.0006467446],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2841404,0.0008270337,0.6967004,0.0002620846,0.0001287517,0.0004607242,0.001449092,0.002197902,0.0138335],"genre_scores_gemma":[0.8725027,0.0004671779,0.1226878,0.0001132798,0.0001120838,0.0003322524,0.001929138,0.000216905,0.001638624],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9992688,"threshold_uncertainty_score":0.01202154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05777818777156853,"score_gpt":0.2771472468527607,"score_spread":0.2193690590811922,"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."}}