{"id":"W4382319240","doi":"10.48550/arxiv.2306.13691","title":"Modulation Graphs in Popular Music","year":2023,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Music Technology and Sound Studies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Modulation (music); Graph; Computer science; Graph theory; Mathematics; Theoretical computer science; Acoustics; Physics; Combinatorics","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":[0.000308368,0.0003441817,0.000317855,0.001887658,0.00116825,0.001566525,0.0005312896,0.0007592049,0.007767274],"category_scores_gemma":[0.002168141,0.0002244202,0.0003562611,0.0019128,0.001932421,0.002342236,0.001096164,0.0008685978,0.0007307958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009789161,"about_ca_system_score_gemma":0.000237207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001281283,"about_ca_topic_score_gemma":0.0009894214,"domain_scores_codex":[0.9995259,0.000140766,0.0000162923,0.000131816,0.000118961,0.00006632129],"domain_scores_gemma":[0.9989005,0.0004751831,0.0001885526,0.0001463616,0.0001594633,0.0001299021],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002569613,0.00001081981,0.0004769271,0.00005252153,0.000007264791,0.00008411949,0.0003214528,0.002125537,0.001405816,0.9783247,0.001548464,0.01561663],"study_design_scores_gemma":[0.00001106328,0.00001834783,0.001325815,0.00003124892,0.00001312414,0.0002459002,0.0003034189,0.01205276,0.0006933357,0.9644341,0.02085295,0.00001788094],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.3811482,0.004458427,0.4409088,0.003476574,0.0005067509,0.0001512011,0.0007935083,0.0006551874,0.1679012],"genre_scores_gemma":[0.9484754,0.001365068,0.0350068,0.000569116,0.0003003931,0.00008516862,0.0004129795,0.0001661037,0.01361899],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.007767274,"threshold_uncertainty_score":0.02598405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1118223366347189,"score_gpt":0.1922453097827413,"score_spread":0.08042297314802233,"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."}}