{"id":"W2166428112","doi":"10.5281/zenodo.1176986","title":"Grassp: Gesturally-Realized Audio, Speech And Song Performance","year":2006,"lang":"en","type":"article","venue":"","topic":"Music and Audio Processing","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Interface (matter); Gesture; Speech recognition; Jitter; Musical expression; Audio signal processing; Sound recording and reproduction; Sound (geography); Speech synthesis; User interface; Speech processing; Human–computer interaction; Multimedia; Audio signal; Musical; Speech coding; Artificial intelligence; Acoustics","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":[0.0001456278,0.0001036027,0.0001138464,0.00004378822,0.0001653319,0.0002204517,0.0002846865,0.00003572459,0.00002831661],"category_scores_gemma":[0.000004852392,0.00007882602,0.00002162707,0.0001806301,0.00004102264,0.0005541507,0.0001403121,0.00007014901,0.00002779348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001240866,"about_ca_system_score_gemma":0.00002809342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000133474,"about_ca_topic_score_gemma":0.00002599669,"domain_scores_codex":[0.999189,0.00001255846,0.0001396845,0.0002608888,0.0001664937,0.0002313773],"domain_scores_gemma":[0.9996408,0.00002203311,0.00004998366,0.0002043272,0.00003675379,0.00004612715],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00001148894,0.0000732175,0.03717021,0.0001244954,0.00001495383,0.00004626171,0.0003649956,0.00008712214,0.006474975,0.05830418,0.04293933,0.8543888],"study_design_scores_gemma":[0.003100719,0.0002761701,0.5398135,0.0002291865,0.00002950825,0.0005694127,0.00006544068,0.2639394,0.06751435,0.02435919,0.09833556,0.001767571],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.724132,0.0002885979,0.2048757,0.002563311,0.0001606795,0.00008609579,2.506604e-7,0.0003073564,0.06758606],"genre_scores_gemma":[0.9296098,0.00002586749,0.06549671,0.0007824537,0.00009900069,0.000002992226,0.000001024167,0.000004959383,0.00397724],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8526212,"threshold_uncertainty_score":0.3214432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007491374669156958,"score_gpt":0.2025796765667273,"score_spread":0.1950883018975703,"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."}}