{"id":"W2123870350","doi":"10.1162/comj_a_00041","title":"The Effects of Network Delay on Tempo in Musical Performance","year":2011,"lang":"en","type":"article","venue":"Computer Music Journal","topic":"Neuroscience and Music Perception","field":"Neuroscience","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Musical; Computer science; Speech recognition; Art; Visual arts","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004075225,0.0001161796,0.0001359992,0.00008316925,0.0003232846,0.00005532084,0.0004965417,0.00003856775,0.0000217443],"category_scores_gemma":[0.00009030104,0.00007348843,0.00006927236,0.0003335309,0.0002014673,0.0002122438,0.0001041604,0.0004273854,0.00002776786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002875439,"about_ca_system_score_gemma":0.00004731311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002270385,"about_ca_topic_score_gemma":0.000003602776,"domain_scores_codex":[0.9986098,0.0001876744,0.0002826889,0.0002305621,0.0003129152,0.0003763363],"domain_scores_gemma":[0.9992006,0.0003171861,0.0001407148,0.0002314662,0.00002338386,0.00008669569],"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":[0.0005069808,0.001018976,0.006604479,0.00009554493,0.00000985845,0.0009414168,0.009484484,0.00215835,0.3039638,0.005319388,0.02772837,0.6421683],"study_design_scores_gemma":[0.00268484,0.004683436,0.9002265,0.000917488,0.00002222198,0.001881937,0.00004121493,0.0347762,0.0395816,0.003453634,0.01110391,0.0006269909],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931442,0.000009600019,0.001578234,0.00005281658,0.004005828,0.0001287487,1.571003e-7,0.00001481709,0.001065613],"genre_scores_gemma":[0.9967456,0.000120559,0.0002807046,0.002085976,0.0007105582,0.000003966958,4.601397e-8,0.000008692308,0.00004387665],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.893622,"threshold_uncertainty_score":0.2996771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04329109748491136,"score_gpt":0.2400819420714531,"score_spread":0.1967908445865418,"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."}}