{"id":"W2246685049","doi":"10.1080/09298215.2015.1080284","title":"An Empirically Derived Measure of Melodic Similarity","year":2015,"lang":"en","type":"article","venue":"Journal of New Music Research","topic":"Music and Audio Processing","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Mitacs","keywords":"Melody; Similarity (geometry); Salience (neuroscience); Measure (data warehouse); Metric (unit); Mathematics; Similarity measure; Computer science; Artificial intelligence; Pattern recognition (psychology); Speech recognition; Data mining; Image (mathematics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003780148,0.0006207222,0.0006149506,0.001816252,0.000500312,0.00170651,0.001326468,0.001115067,0.00228548],"category_scores_gemma":[0.0451915,0.0003315763,0.0005364057,0.001043166,0.001158769,0.002991243,0.001342563,0.001035018,0.0006949486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001064731,"about_ca_system_score_gemma":0.0008246205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001026345,"about_ca_topic_score_gemma":0.001423312,"domain_scores_codex":[0.9960133,0.001556686,0.0003681889,0.0007095734,0.001249342,0.0001029446],"domain_scores_gemma":[0.9828933,0.01146325,0.001569134,0.001805199,0.002045778,0.0002233042],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0011056,0.001613703,0.1420811,0.001428427,0.000632368,0.0004014407,0.001738897,0.1008589,0.1230956,0.07374752,0.002624286,0.5506722],"study_design_scores_gemma":[0.0001583942,0.001876753,0.1066562,0.0001887291,0.0001383652,0.001435155,0.0009016885,0.7977217,0.0456916,0.04021519,0.004769432,0.0002468805],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2545955,0.0005429134,0.7353333,0.0002574434,0.00005854905,0.000536422,0.000472839,0.0006792381,0.00752371],"genre_scores_gemma":[0.8156708,0.0001325823,0.1830435,0.00005063595,0.00001850395,0.0002265119,0.0003428703,0.00005017787,0.000464538],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003780148,"threshold_uncertainty_score":0.01999152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4328524676517134,"score_gpt":0.4525154985952037,"score_spread":0.01966303094349031,"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."}}