{"id":"W2624643528","doi":"10.71781/10362","title":"Sequential modeling, generative recurrent neural networks, and their applications to audio","year":2016,"lang":"en","type":"dissertation","venue":"Open MIND","topic":"Music and Audio Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institute for Advanced Research","keywords":"Generative grammar; Computer science; Artificial neural network; Speech recognition; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001586934,0.0002245935,0.0002336814,0.00006320979,0.0003006324,0.0008314097,0.001035058,0.0001115176,0.00007591033],"category_scores_gemma":[0.000006556289,0.0001636855,0.00004040362,0.0001616373,0.0000144383,0.0003948524,0.0003293331,0.0001515491,0.00004265762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003249217,"about_ca_system_score_gemma":0.0001517098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001267708,"about_ca_topic_score_gemma":0.00008009623,"domain_scores_codex":[0.9987127,0.0000402024,0.0002393432,0.0006647719,0.0001171794,0.0002258659],"domain_scores_gemma":[0.9992231,0.00001964768,0.0001531233,0.0003569615,0.0001203125,0.0001268772],"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":[0.000008453447,0.00001353469,0.000001405148,0.000007027541,0.00001509371,8.939351e-7,0.001598109,0.00107517,0.0004038373,0.0001655606,0.0005866442,0.9961243],"study_design_scores_gemma":[0.000341363,0.00006979113,0.00001352255,0.0003197862,0.00002844393,0.000008883695,0.0002056416,0.9527465,0.004183501,0.001128724,0.04023762,0.0007163002],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01165103,0.0005900694,0.9796922,0.0005210938,0.0005444353,0.0007358207,0.00001652075,0.000006008489,0.006242783],"genre_scores_gemma":[0.8181303,0.0002394843,0.1445335,0.001294983,0.002803876,0.001280519,0.0009116668,0.0001060252,0.03069964],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.995408,"threshold_uncertainty_score":0.8017303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05858003495141855,"score_gpt":0.3341302118096953,"score_spread":0.2755501768582768,"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."}}