{"id":"W3033847968","doi":"10.36227/techrxiv.12089682.v1","title":"Deep Learning For Audio","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Computer science; Deep learning; Architecture; Speech recognition; Artificial intelligence; Sound (geography); Geography","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":[0.0006255321,0.0008990609,0.0005571202,0.0008323177,0.0004878943,0.001612574,0.001192914,0.001204375,0.01751803],"category_scores_gemma":[0.002706233,0.0003708091,0.0006356818,0.001045587,0.0008052338,0.002016879,0.001872702,0.002702074,0.00773485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009936477,"about_ca_system_score_gemma":0.0009332724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005221919,"about_ca_topic_score_gemma":0.007646594,"domain_scores_codex":[0.9994697,0.0000736482,0.00002372115,0.0001355011,0.0002407131,0.00005682165],"domain_scores_gemma":[0.9995017,0.0001698621,0.00004132908,0.0001047184,0.0001444382,0.00003792815],"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":[0.0001490773,0.00007433878,0.0005401143,0.00058729,0.00009832185,0.0001758008,0.0001149599,0.05906083,0.01774762,0.1713184,0.07382059,0.6763127],"study_design_scores_gemma":[0.00003013052,0.00005986617,0.0008383209,0.0001994902,0.00003721808,0.0002314484,0.00004919833,0.6014212,0.01140932,0.2501035,0.1355679,0.0000526154],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.002532555,0.004614213,0.971809,0.001635551,0.000713935,0.00004219681,0.001179271,0.00289158,0.01458171],"genre_scores_gemma":[0.2390918,0.01196437,0.6648206,0.001520522,0.001686813,0.0002877248,0.005582808,0.00160269,0.07344276],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01751803,"threshold_uncertainty_score":0.0586037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03382190072097106,"score_gpt":0.2772259998036488,"score_spread":0.2434040990826777,"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."}}