{"id":"W1597023098","doi":"10.1007/978-3-642-01129-0_69","title":"Evolving Indirectly Represented Melodies with Corpus-Based Fitness Evaluation","year":2009,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Music Technology and Sound Studies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Melody; Artificial intelligence; Natural language processing; Art; Literature","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":[0.001257585,0.0013743,0.001325193,0.001791437,0.000587999,0.001681899,0.001813895,0.001451785,0.01000678],"category_scores_gemma":[0.006242868,0.0005170085,0.0008873377,0.001299126,0.0004463392,0.001529428,0.002002671,0.0009319462,0.001931879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006498459,"about_ca_system_score_gemma":0.0006961026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004641189,"about_ca_topic_score_gemma":0.00762961,"domain_scores_codex":[0.9992009,0.0002037673,0.00005375288,0.0002586046,0.0002102625,0.00007284691],"domain_scores_gemma":[0.997993,0.0009460956,0.00005742217,0.0002256344,0.0006877179,0.00009001714],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001151288,0.0005991348,0.004581891,0.0003746902,0.0002586149,0.0003843528,0.0003842817,0.2055922,0.06145746,0.002957325,0.006194444,0.7160644],"study_design_scores_gemma":[0.00005744724,0.0001249384,0.001102715,0.00002397852,0.00008106237,0.00005711669,0.00008197669,0.9888703,0.007021039,0.001219169,0.001342694,0.00001758794],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3385902,0.000873341,0.6387231,0.0003241854,0.0003906947,0.0004121658,0.001089597,0.006361424,0.01323532],"genre_scores_gemma":[0.668729,0.0002147433,0.3193334,0.0001376672,0.00008293759,0.0003192729,0.003158115,0.000935873,0.007089051],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01000678,"threshold_uncertainty_score":0.03347605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02309530956806172,"score_gpt":0.2617142705082484,"score_spread":0.2386189609401867,"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."}}