{"id":"W1586224180","doi":"","title":"A physically-Informed audio analysis framework for the identification of plucking gestures on the classical guitar","year":2011,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Music and Audio Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Centre for Interdisciplinary Research in Music Media and Technology","funders":"","keywords":"Guitar; Decimation; Acoustics; String (physics); Computer science; SIGNAL (programming language); Speech recognition; Audio analyzer; Gesture; Identification (biology); Vibration; Filter (signal processing); Plucking; Audio signal; Digital audio; Mathematics; Artificial intelligence; Physics; Speech coding; Computer vision","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000292469,0.00009909415,0.0001380045,0.0001146172,0.0003470583,0.000117894,0.0009782852,0.00007285523,0.00001342552],"category_scores_gemma":[0.0006841857,0.00005899023,0.0001205313,0.00064884,0.0001242276,0.00008905528,0.00003995399,0.0001642665,0.000006759517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007723665,"about_ca_system_score_gemma":0.0003970345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007133132,"about_ca_topic_score_gemma":0.001475765,"domain_scores_codex":[0.9990863,0.00002054953,0.000247974,0.0001863122,0.000195979,0.0002629376],"domain_scores_gemma":[0.998241,0.0007049703,0.0001915469,0.0006095382,0.0001409059,0.0001120582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001240586,0.00006691752,0.0002923069,0.00006228137,0.0005932365,0.000005682133,0.01262963,0.004447366,0.001868019,0.8934695,0.02742515,0.05912746],"study_design_scores_gemma":[0.0002280449,0.0001039482,0.08464397,0.0001160963,0.0009567505,0.000002327521,0.000980842,0.8030245,0.003208219,0.09916539,0.007099808,0.0004700788],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00696933,0.00003860516,0.9875743,0.004282291,0.0002136261,0.0001777638,0.00001482973,0.00002092213,0.000708299],"genre_scores_gemma":[0.9784124,0.000006622503,0.01871973,0.002561281,0.0001343117,0.00002427353,0.000002178877,0.000006921659,0.0001322059],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9714431,"threshold_uncertainty_score":0.2669327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04827856357925966,"score_gpt":0.2673436615242233,"score_spread":0.2190650979449637,"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."}}