{"id":"W1269046860","doi":"10.1201/9781482276237","title":"Speech Processing","year":2018,"lang":"en","type":"book","venue":"","topic":"Speech Recognition and Synthesis","field":"Computer Science","cited_by":239,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université du Québec à Montréal","funders":"","keywords":"Speech recognition; Computer science; Natural language processing","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":[0.0005027199,0.001187617,0.0007889204,0.001465113,0.0007291888,0.002891493,0.001057216,0.001409587,0.09150737],"category_scores_gemma":[0.001355866,0.0003562292,0.0005401124,0.001484932,0.0006441026,0.001749733,0.001319273,0.001414085,0.1028171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005313615,"about_ca_system_score_gemma":0.0007077574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006980454,"about_ca_topic_score_gemma":0.0007944025,"domain_scores_codex":[0.9993419,0.00005868913,0.00004714222,0.0001430137,0.0003785353,0.00003071712],"domain_scores_gemma":[0.999397,0.0001198702,0.00002185626,0.000106865,0.0003200883,0.00003429175],"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":[0.0000597232,0.00003489662,0.00009179264,0.0007073423,0.00003256378,0.0001858858,0.0001458985,0.00120292,0.01041961,0.02835307,0.2248123,0.733954],"study_design_scores_gemma":[0.000007894409,0.00004631698,0.0003728984,0.0002390932,0.0000116024,0.0006755522,0.00007051687,0.001894112,0.003783353,0.01541881,0.977459,0.00002089225],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003191577,0.09637336,0.2814465,0.004751036,0.01309894,0.0004351291,0.003076676,0.006931006,0.5906959],"genre_scores_gemma":[0.02151054,0.04494285,0.07578741,0.002558302,0.00391876,0.0003014208,0.004517754,0.001185893,0.8452771],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09150737,"threshold_uncertainty_score":0.3061227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0272552053198968,"score_gpt":0.2467195160514359,"score_spread":0.2194643107315391,"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."}}