{"id":"W7082647630","doi":"10.5281/zenodo.17173902","title":"Music composition with AI","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Music and artificial intelligence; Pop music automation; Musical composition; Generative grammar; Composition (language); Focus (optics); Programming; Key (lock); Popular music","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":[0.001748375,0.0008354568,0.0004293191,0.001008642,0.001889069,0.005639164,0.001376845,0.001988078,0.02781478],"category_scores_gemma":[0.005180671,0.0003666382,0.0006604387,0.0005991877,0.006528125,0.007120336,0.004963227,0.002441015,0.007741228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001086648,"about_ca_system_score_gemma":0.0008285255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007685068,"about_ca_topic_score_gemma":0.0008101916,"domain_scores_codex":[0.9986293,0.0003967583,0.00007557987,0.0003453466,0.0004711303,0.00008183925],"domain_scores_gemma":[0.9988519,0.0004467761,0.00006911708,0.0003599093,0.0001550203,0.0001172633],"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":[0.0001195933,0.00005135752,0.0006380932,0.0003970868,0.00006006972,0.0001550663,0.001123391,0.007091713,0.004955709,0.7446241,0.0214671,0.2193166],"study_design_scores_gemma":[0.00003811624,0.00006219935,0.0003995683,0.0002053061,0.00002561,0.0003761622,0.0003794728,0.01483312,0.003253878,0.5308294,0.4495474,0.00004991061],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01030555,0.009797451,0.5291565,0.01607227,0.00359681,0.0001857056,0.0002433818,0.002900575,0.4277418],"genre_scores_gemma":[0.37579,0.009587315,0.4240979,0.005449291,0.003087317,0.0002920846,0.0006199038,0.001537896,0.1795382],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02781478,"threshold_uncertainty_score":0.09304971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01964588591809736,"score_gpt":0.2207309068488554,"score_spread":0.201085020930758,"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."}}