{"id":"W2759487759","doi":"","title":"Seeing Sound: A tool for teaching music perception principles","year":2017,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Music Technology and Sound Studies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Timbre; Perception; Computer science; Software; Sound perception; Human–computer interaction; Auditory scene analysis; Auditory perception; Musical; Psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0008564546,0.001199784,0.0004114649,0.001105219,0.0005197956,0.001520335,0.001559083,0.001164218,0.07084531],"category_scores_gemma":[0.00446329,0.0005080824,0.0007143292,0.0006385046,0.0008050539,0.002317893,0.002285795,0.001704785,0.01682604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007085598,"about_ca_system_score_gemma":0.001167121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001015026,"about_ca_topic_score_gemma":0.00225938,"domain_scores_codex":[0.9994697,0.0001034812,0.00002832246,0.0001120163,0.0002236701,0.00006279862],"domain_scores_gemma":[0.9979025,0.001402259,0.00006018417,0.0001843313,0.0002192227,0.0002315117],"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":[0.0002386159,0.0006612096,0.001756783,0.0009429994,0.00002447153,0.000694474,0.003933362,0.004146065,0.07515571,0.04051759,0.1727434,0.6991854],"study_design_scores_gemma":[0.0002438242,0.0004300838,0.002550432,0.0003495045,0.00003672632,0.001271195,0.0006895294,0.02190672,0.03517297,0.03655857,0.9006756,0.0001148525],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01226162,0.0002380499,0.8795168,0.0008326095,0.0003121746,0.000372844,0.001121067,0.05708122,0.04826361],"genre_scores_gemma":[0.06113872,0.0005952124,0.8682699,0.0006114347,0.0001138464,0.000808735,0.001687308,0.009066365,0.05770849],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07084531,"threshold_uncertainty_score":0.2370012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03806432472542551,"score_gpt":0.2642686573108808,"score_spread":0.2262043325854553,"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."}}