{"id":"W2126721227","doi":"10.5281/zenodo.1176566","title":"Indirect Acquisition Of Instrumental Gesture Based On Signal , Physical And Perceptual Information","year":2003,"lang":"en","type":"article","venue":"","topic":"Music Technology and Sound Studies","field":"Computer Science","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université de Montréal","funders":"","keywords":"Timbre; Gesture; Guitar; Computer science; Microphone; Gesture recognition; Perception; SIGNAL (programming language); Speech recognition; Point (geometry); Artificial intelligence; Human–computer interaction; Acoustics; Mathematics; Psychology; Musical","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006913845,0.00005726999,0.00008071311,0.00006791132,0.00007429263,0.00001697568,0.00008266412,0.00004585968,0.00002038256],"category_scores_gemma":[0.00001047472,0.00004442459,0.0000189596,0.0001053713,0.00007087387,0.0002838926,0.00003003973,0.00006705045,0.000006615769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001074109,"about_ca_system_score_gemma":0.00001343662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002323957,"about_ca_topic_score_gemma":0.000001283008,"domain_scores_codex":[0.9996377,0.0000247036,0.00007433309,0.00007951201,0.0001105471,0.00007315225],"domain_scores_gemma":[0.9998052,0.00003435895,0.00003083228,0.00009690299,0.00001775993,0.0000149243],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00003259021,0.0002305899,0.01502853,0.00003275915,0.00003683061,0.000002173364,0.01426709,0.0001020146,0.001031941,0.8489085,0.001395624,0.1189314],"study_design_scores_gemma":[0.006207566,0.00452302,0.6265079,0.0001185466,0.00005038697,0.00006154253,0.006223196,0.2112147,0.08860035,0.0432665,0.01195884,0.001267421],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9497341,0.000004688937,0.03818398,0.000285976,0.00004529631,0.00006227449,0.000001354806,0.00007149706,0.01161086],"genre_scores_gemma":[0.9962354,9.685609e-7,0.003342676,0.0003958864,0.000007292162,0.000003616184,0.000001578814,7.915699e-7,0.00001179117],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8056419,"threshold_uncertainty_score":0.1811582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007354861787931164,"score_gpt":0.2067712011979374,"score_spread":0.1994163394100062,"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."}}