{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002022738,0.0006027397,0.0004281768,0.0005377021,0.0004371327,0.001466949,0.001398418,0.000724006,0.02343239],"category_scores_gemma":[0.0005136822,0.0002496056,0.0006148958,0.0004803815,0.000957818,0.0009292194,0.0010554,0.0008015514,0.005954791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003683678,"about_ca_system_score_gemma":0.0006929725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001216745,"about_ca_topic_score_gemma":0.001725114,"domain_scores_codex":[0.9996911,0.00001882711,0.00002852675,0.00006722254,0.0001506636,0.00004373491],"domain_scores_gemma":[0.999754,0.00006263833,0.00001583685,0.00007204137,0.00006967715,0.00002572055],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005816026,0.0002111937,0.002325594,0.001931168,0.00004103162,0.001189734,0.0003993227,0.002373949,0.5484809,0.07821026,0.003958516,0.3602968],"study_design_scores_gemma":[0.0001039686,0.001677064,0.01534553,0.0002476491,0.0001649528,0.008791115,0.0004784718,0.04722289,0.7165462,0.02297994,0.1862635,0.0001789216],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06206845,0.003955339,0.8424177,0.0004112965,0.0004406508,0.0009272679,0.002504576,0.002606724,0.084668],"genre_scores_gemma":[0.5187897,0.005535875,0.3257071,0.0003614039,0.0003212393,0.002175999,0.004243985,0.0006059117,0.1422588],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02343239,"threshold_uncertainty_score":0.07838911,"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."}}