{"id":"W2572852026","doi":"10.48550/arxiv.1611.03477","title":"Song From PI: A Musically Plausible Network for Pop Music Generation","year":2016,"lang":"en","type":"article","venue":"arXiv (Cornell University)","topic":"Music and Audio Processing","field":"Computer Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Singing; Hierarchy; ENCODE; Computer science; Artificial neural network; Speech recognition; Preference; Popular music; Artificial intelligence; Art; Visual arts; Acoustics; Mathematics; Biology","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":[0.000393096,0.0005429105,0.0002910713,0.0002982987,0.0002739791,0.0004985112,0.001291078,0.0007544312,0.00441941],"category_scores_gemma":[0.001291757,0.000265935,0.0003781727,0.000277882,0.0003044426,0.000779378,0.0007011467,0.0009732103,0.001026038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003334018,"about_ca_system_score_gemma":0.0004310579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002699103,"about_ca_topic_score_gemma":0.006353737,"domain_scores_codex":[0.9998982,0.00002271111,0.000003868921,0.00003670037,0.00002524117,0.00001326927],"domain_scores_gemma":[0.9998715,0.00005718613,0.00001149397,0.00002292839,0.00002174135,0.0000151934],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004238257,0.0001310534,0.001857727,0.0001979677,0.000145075,0.0005024556,0.0001823517,0.4997487,0.03107945,0.03160538,0.01307768,0.4210484],"study_design_scores_gemma":[0.00001103718,0.00002519288,0.0001287198,0.000004830942,0.000008078201,0.00004294245,0.00000595107,0.9900714,0.001853026,0.006223843,0.001619941,0.000005103626],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0351647,0.0005594536,0.9524177,0.0004560769,0.0001389983,0.00009230107,0.0006447001,0.004725225,0.005800965],"genre_scores_gemma":[0.6287375,0.0003778228,0.3594691,0.0002726849,0.0001044092,0.0002005198,0.001738374,0.0005036967,0.008595805],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00441941,"threshold_uncertainty_score":0.0147844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1039340668870851,"score_gpt":0.1750937036579767,"score_spread":0.07115963677089164,"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."}}