{"id":"W3031341845","doi":"10.1007/978-3-030-49161-1_18","title":"A Novel Learning Automata-Based Strategy to Generate Melodies from Chordal Inputs","year":2020,"lang":"en","type":"book-chapter","venue":"IFIP advances in information and communication technology","topic":"Music and Audio Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Melody; Converse; Computer science; Automaton; Chordal graph; Task (project management); Composition (language); Artificial intelligence; Speech recognition; Theoretical computer science; Graph; Mathematics; Art; Engineering; 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":[0.0002114422,0.000568273,0.0005325028,0.0003662486,0.000466764,0.000846533,0.001523356,0.0007950463,0.00724721],"category_scores_gemma":[0.0009140457,0.0002464612,0.0005627678,0.0003220341,0.0005317486,0.0007365043,0.001021968,0.000688059,0.001555288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003660303,"about_ca_system_score_gemma":0.0005573361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00264004,"about_ca_topic_score_gemma":0.003909236,"domain_scores_codex":[0.9997795,0.00002968941,0.00001939052,0.0000877237,0.00005950356,0.00002416146],"domain_scores_gemma":[0.9997056,0.0001379257,0.00001376805,0.00004842611,0.00006587151,0.0000282605],"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":[0.000303411,0.0002444348,0.0006270683,0.0002814031,0.0001162883,0.000399534,0.0002624569,0.09308646,0.1170588,0.06775132,0.007374042,0.7124948],"study_design_scores_gemma":[0.00003568598,0.0001189956,0.0001468426,0.00001547699,0.00003187488,0.0001711728,0.00002570365,0.9563554,0.01969713,0.01957322,0.003806882,0.00002169742],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0121543,0.0001046935,0.9782864,0.0000875022,0.0001358807,0.00008320061,0.00009571602,0.002088142,0.0069641],"genre_scores_gemma":[0.4300439,0.0001441401,0.5546583,0.0002230698,0.00004852573,0.0002902522,0.0003079189,0.0003073311,0.01397653],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00724721,"threshold_uncertainty_score":0.02424431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01506711659304732,"score_gpt":0.2478312746393671,"score_spread":0.2327641580463198,"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."}}