{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006965492,0.0006152405,0.0004288382,0.000557317,0.0002712131,0.0009653451,0.000873597,0.0006834063,0.00262615],"category_scores_gemma":[0.002826981,0.0004650645,0.000783978,0.0008033075,0.0005635249,0.0008825168,0.0008286408,0.0009020061,0.0006837496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006356233,"about_ca_system_score_gemma":0.0005524847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006716573,"about_ca_topic_score_gemma":0.008773824,"domain_scores_codex":[0.9996649,0.000100816,0.000017727,0.0001002169,0.00008811415,0.00002829144],"domain_scores_gemma":[0.9991845,0.0005296794,0.00007598131,0.00009340337,0.00008979004,0.00002659991],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001034063,0.00004389215,0.001495292,0.0002160214,0.0001066165,0.0001961849,0.0003311159,0.6774657,0.01018409,0.08919528,0.001561227,0.2191011],"study_design_scores_gemma":[0.000003644422,0.00002208204,0.0002439207,0.00001309225,0.00001518967,0.00004319415,0.00001566649,0.976108,0.001276198,0.01984075,0.002408384,0.000009835435],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01231041,0.00103605,0.9813854,0.0002671607,0.00007630042,0.00002370635,0.000102905,0.0005615184,0.004236528],"genre_scores_gemma":[0.647974,0.004466287,0.3245944,0.0002301336,0.0002731975,0.0001743749,0.0005867888,0.0003307884,0.02137011],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006716573,"threshold_uncertainty_score":0.01335496,"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."}}