{"id":"W2945465371","doi":"","title":"A Markov Chain Analysis of John K. Samson's Music","year":2018,"lang":"en","type":"article","venue":"MacEwan University Student Research Proceedings","topic":"Music Technology and Sound Studies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"MacEwan University","funders":"","keywords":"Markov chain; Chain (unit); Computer science; Art; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001033555,0.0002494648,0.0004601157,0.001319788,0.001329839,0.001370273,0.0008832192,0.0006531787,0.01214794],"category_scores_gemma":[0.009989698,0.000391553,0.0006713041,0.0009764066,0.001096073,0.001814713,0.001023463,0.001419933,0.001137659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001262313,"about_ca_system_score_gemma":0.001463585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01621154,"about_ca_topic_score_gemma":0.01930747,"domain_scores_codex":[0.9996395,0.00009349003,0.00001401743,0.00008089245,0.000109908,0.00006212439],"domain_scores_gemma":[0.9963155,0.002722907,0.0001614663,0.000211094,0.0003782274,0.0002107571],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000695605,0.0000444061,0.002827195,0.0000492232,0.00003373019,0.0001791524,0.0004003121,0.06274185,0.001005055,0.9026437,0.007914843,0.02209099],"study_design_scores_gemma":[0.00001782638,0.0000236236,0.002274853,0.0000560125,0.00002134703,0.00009427287,0.0001214342,0.5205419,0.0004900804,0.4677121,0.008605112,0.00004140412],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1624458,0.002159056,0.7560693,0.005342049,0.0004345225,0.00009363243,0.0007140084,0.0004293517,0.07231238],"genre_scores_gemma":[0.8946853,0.001836056,0.05522016,0.0003700721,0.0002838613,0.00009682916,0.0005705905,0.000264786,0.04667244],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01621154,"threshold_uncertainty_score":0.04063886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06672237838981568,"score_gpt":0.3355056372436535,"score_spread":0.2687832588538378,"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."}}