{"id":"W1746547836","doi":"10.4324/9780203122716","title":"Advanced Schenkerian Analysis","year":2013,"lang":"en","type":"book","venue":"","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007459892,0.0002178315,0.0003688571,0.0003480145,0.00007738874,0.0003774098,0.001137163,0.0001633207,0.0007428165],"category_scores_gemma":[0.00001287891,0.0001816161,0.0002235804,0.0004886385,0.00002689331,0.0005154638,0.0002536956,0.0001906912,0.001198854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007114717,"about_ca_system_score_gemma":0.0002930194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000369356,"about_ca_topic_score_gemma":0.00001090789,"domain_scores_codex":[0.9987115,0.00001021551,0.0002125718,0.0005274389,0.0002763192,0.0002619381],"domain_scores_gemma":[0.9987991,0.00002844975,0.0001582293,0.0007834532,0.000109705,0.0001210972],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000217644,0.00002441283,0.00003492021,0.00005952429,0.001016748,0.00003239524,0.0001008812,0.00008520961,0.0003225304,0.02844577,0.1637632,0.8061122],"study_design_scores_gemma":[0.000259855,0.00004869984,0.0001887682,0.00008287767,0.0003317828,0.000006433036,0.000006119161,0.004143953,0.007384551,0.03960151,0.9469146,0.001030825],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000008408213,0.0003734407,0.3662857,0.0002280426,0.00012726,0.00006359426,8.286023e-7,0.0002367331,0.632676],"genre_scores_gemma":[0.00008699345,0.00002079724,0.2260316,0.000515019,0.0000840572,0.000007325482,0.00001508109,0.00001017221,0.773229],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8050814,"threshold_uncertainty_score":0.9995788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006924312545353893,"score_gpt":0.2148058217507427,"score_spread":0.2078815092053888,"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."}}