{"id":"W2587565765","doi":"10.3389/fpsyg.2017.00153","title":"Perception and Modeling of Affective Qualities of Musical Instrument Sounds across Pitch Registers","year":2017,"lang":"en","type":"article","venue":"Frontiers in Psychology","topic":"Neuroscience and Music Perception","field":"Neuroscience","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; McGill University; Centre for Interdisciplinary Research in Music Media and Technology","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Timbre; Psychology; Pitch (Music); Musical tone; Register (sociolinguistics); Musical instrument; Relative pitch; Perception; Speech recognition; Tone (literature); Arousal; Musical; Rhythm; Cognitive psychology; Acoustics; Computer science; Social psychology; Linguistics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003456183,0.0001017332,0.0002452568,0.0001187011,0.0001660063,0.00002809888,0.0003097203,0.00009713722,0.000006101507],"category_scores_gemma":[0.0002620826,0.00009921901,0.00003998857,0.00008272545,0.001145746,0.0003042959,0.0001028647,0.0001405692,8.776291e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002886958,"about_ca_system_score_gemma":0.00001533593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001214199,"about_ca_topic_score_gemma":0.00002779106,"domain_scores_codex":[0.9987658,0.000128155,0.0002588471,0.0004426609,0.0001647999,0.0002397],"domain_scores_gemma":[0.999274,0.000025654,0.000195445,0.0004451847,0.0000215851,0.00003816405],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003781952,0.0002236938,0.02876146,0.00006115258,0.000004149784,0.000008303369,0.01763704,0.00007003609,0.8414074,0.000629487,0.0008987284,0.1099203],"study_design_scores_gemma":[0.008872476,0.002509883,0.7966324,0.0003750189,0.00004659524,0.0001884082,0.04204549,0.06617112,0.01348872,0.06715906,0.001366374,0.001144454],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9802975,0.00000760595,0.01589337,0.0003075536,0.001679786,0.0001441571,0.00001124337,0.000009783075,0.001648978],"genre_scores_gemma":[0.9983943,0.000206466,0.0008939573,0.0004025812,0.00003740704,0.00001110251,6.132663e-7,0.000007544289,0.00004607732],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8279187,"threshold_uncertainty_score":0.4221549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09391958712754526,"score_gpt":0.3898962575552682,"score_spread":0.295976670427723,"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."}}