{"id":"W7117301010","doi":"10.61782/fa.2025.0794","title":"Soundcool: Enabling Easy-to-Configure International Collaborative Performances with Minimal Technical Knowledge and AI","year":2025,"lang":"","type":"article","venue":"","topic":"Music Technology and Sound Studies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Generalitat Valenciana; York University","keywords":"Field (mathematics); Set (abstract data type); Key (lock); Feature (linguistics); Process (computing)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009247397,0.001130239,0.0004498357,0.0009100985,0.0006282306,0.001940839,0.001982365,0.001039176,0.03716113],"category_scores_gemma":[0.002471501,0.0005151088,0.0004897584,0.0005118357,0.0009119762,0.002789263,0.005631905,0.001014899,0.006280459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005589987,"about_ca_system_score_gemma":0.0008251896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001154985,"about_ca_topic_score_gemma":0.002012407,"domain_scores_codex":[0.9991659,0.000105392,0.00003795068,0.00011137,0.0004026993,0.0001767132],"domain_scores_gemma":[0.9992281,0.000246925,0.00003413783,0.0001767031,0.0001129422,0.0002011359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002144452,0.0004065015,0.002151125,0.001020011,0.00009306425,0.001246719,0.003984764,0.007507011,0.2438352,0.04436464,0.1321666,0.56108],"study_design_scores_gemma":[0.0007719369,0.001018866,0.006435956,0.0002895756,0.000136185,0.001625534,0.001208268,0.06294754,0.1350713,0.01808694,0.7720925,0.0003154274],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.09209848,0.0008870819,0.6458305,0.0004730557,0.0005622146,0.0009530986,0.001813216,0.102495,0.1548873],"genre_scores_gemma":[0.4772713,0.0009239059,0.4107578,0.0004734947,0.000398549,0.001440037,0.005579235,0.01074727,0.09240834],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.03716113,"threshold_uncertainty_score":0.1243164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009642842853422878,"score_gpt":0.2759016001877233,"score_spread":0.2662587573343004,"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."}}