{"id":"W4406038147","doi":"10.7717/peerj-cs.2632","title":"Integrating humanoid robots with human musicians for synchronized musical performances","year":2025,"lang":"en","type":"article","venue":"PeerJ Computer Science","topic":"Music Technology and Sound Studies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Laurentian University","funders":"","keywords":"Musical; Humanoid robot; Human–computer interaction; Computer science; Robot; Speech recognition; Artificial intelligence; Visual arts; Art","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0007676273,0.0002332122,0.0003195575,0.0003931992,0.002106432,0.0004702759,0.002522939,0.00006976312,0.000002909818],"category_scores_gemma":[0.00005353333,0.0001724251,0.00007235692,0.001449467,0.001103673,0.0007787796,0.0009256094,0.0002378749,0.000005330382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009735801,"about_ca_system_score_gemma":0.0003243821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002250974,"about_ca_topic_score_gemma":0.00008802327,"domain_scores_codex":[0.9978132,0.00002570899,0.0002856373,0.0008800915,0.0003814794,0.000613897],"domain_scores_gemma":[0.9985741,0.0001517848,0.000106444,0.0007669172,0.0003358695,0.00006490207],"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":[0.00001299495,0.00014051,0.001600614,0.00007415895,0.00005037016,0.00001149183,0.004398432,0.0006489524,0.001466324,0.8080028,0.004575239,0.1790181],"study_design_scores_gemma":[0.002229142,0.001258112,0.02190366,0.000396058,0.00004077961,0.00004653429,0.0003152016,0.9219012,0.002864134,0.03371051,0.01435397,0.0009807459],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1211748,0.00006899698,0.8726913,0.001875861,0.0008692964,0.0003132451,8.649961e-7,0.0004315519,0.002574146],"genre_scores_gemma":[0.7152746,0.000001792193,0.2832573,0.001017509,0.0001036294,0.00006675116,8.215648e-7,0.000004403269,0.0002732511],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9212522,"threshold_uncertainty_score":0.9991927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01301297821399267,"score_gpt":0.2733841892458517,"score_spread":0.260371211031859,"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."}}