{"id":"W2114492537","doi":"10.1016/j.artint.2009.06.001","title":"Probabilistic models for melodic prediction","year":2009,"lang":"en","type":"article","venue":"Artificial Intelligence","topic":"Music and Audio Processing","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Chord (peer-to-peer); Melody; Probabilistic logic; Computer science; Polyphony; Statistical model; Hidden Markov model; Artificial intelligence; Metric (unit); Mathematics; Speech recognition; Machine learning","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":[],"consensus_categories":[],"category_scores_codex":[0.0002727596,0.0001031538,0.0001077066,0.00005799709,0.0002037101,0.0001845704,0.0004668174,0.000049167,0.000008281081],"category_scores_gemma":[0.00009288509,0.00009560627,0.00005384795,0.000283501,0.00004152468,0.0006353601,0.00003355846,0.00007130333,0.00003363528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002967979,"about_ca_system_score_gemma":0.00006645711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004500206,"about_ca_topic_score_gemma":0.000003455131,"domain_scores_codex":[0.9989137,0.00001653513,0.0002852798,0.0003567501,0.0001690561,0.0002586718],"domain_scores_gemma":[0.9993824,0.00006881943,0.00007030855,0.0002842947,0.0001264259,0.00006771805],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000005610944,0.00004250249,8.036835e-7,0.000006886105,0.000001543441,7.634454e-7,0.0004266816,0.009574861,0.0007373754,0.5225644,0.0002730931,0.4663655],"study_design_scores_gemma":[0.000006742137,0.00007282402,0.000008047135,0.00001277219,0.000002486291,0.000002021223,0.00001262963,0.4860663,0.01123044,0.5022722,0.0002520858,0.00006139195],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0019512,0.00007924542,0.992952,0.002321978,0.0003290595,0.0002569963,0.000002394831,0.0002104754,0.001896684],"genre_scores_gemma":[0.9568339,0.000006041854,0.04193864,0.0009439692,0.0001667466,0.00002471734,0.000002215293,0.000004408728,0.00007937255],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9548827,"threshold_uncertainty_score":0.3898711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08764861002211706,"score_gpt":0.2991786291769817,"score_spread":0.2115300191548647,"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."}}