{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001549607,0.0001349216,0.0003306145,0.001947548,0.0007870041,0.00008599798,0.002222843,0.0001163234,0.0001103371],"category_scores_gemma":[0.0001289471,0.0001348939,0.0001356881,0.006229203,0.0009251236,0.0003249546,0.00246407,0.0003592689,0.00002404378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001450351,"about_ca_system_score_gemma":0.00007103442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001624689,"about_ca_topic_score_gemma":0.0003237916,"domain_scores_codex":[0.9977425,0.00006035368,0.0001516683,0.0005637764,0.0009278561,0.0005538527],"domain_scores_gemma":[0.9982584,0.0001105992,0.00009151699,0.0003562432,0.0010744,0.0001089071],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001585069,0.0006149828,0.2803588,0.00009867932,0.003663332,0.00009867828,0.07191624,0.000001689871,0.001828426,0.5523782,0.07268723,0.01619521],"study_design_scores_gemma":[0.001771085,0.00173992,0.712984,0.00008838771,0.0004921356,0.000007554045,0.058545,0.007548935,0.001603107,0.003078889,0.2113732,0.0007678164],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9259908,0.0000461998,0.004346419,0.001924823,0.00007964046,0.0002926056,0.000004965754,0.0001909047,0.06712365],"genre_scores_gemma":[0.9934513,0.00004675913,0.002217884,0.00005541248,0.00004413085,0.000002138888,7.696709e-7,0.000004307095,0.004177305],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5492994,"threshold_uncertainty_score":0.6053079,"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."}}