{"id":"W6997174494","doi":"","title":"Utilization of Multiple Units in Human And Machine Recognition of Continuous Speech---- Perceptual Evidence And A Proposal For An Asr System","year":2022,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Speech Recognition and Synthesis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Perception; Pattern recognition (psychology); Human–machine system; Human–machine interface","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0003972388,0.00007823699,0.0001664448,0.0002856167,0.0001297478,0.00003255833,0.0001614633,0.00004084973,0.00001835474],"category_scores_gemma":[0.0003203949,0.00008902004,0.00001280857,0.0002906334,0.00005976647,0.0001624263,0.00004414595,0.0000712504,2.490858e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001046438,"about_ca_system_score_gemma":0.0003109697,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01078399,"about_ca_topic_score_gemma":0.0224778,"domain_scores_codex":[0.9991689,0.0001146365,0.0002363059,0.0002020883,0.0001301562,0.0001479183],"domain_scores_gemma":[0.9992551,0.0001605557,0.0001028888,0.0001397635,0.0002024652,0.0001392517],"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":[0.0001110682,0.0002554694,0.02392055,0.001449129,0.00004690484,0.0001021065,0.01009354,0.0002692691,0.1012845,0.01025043,0.0006801898,0.8515369],"study_design_scores_gemma":[0.001878891,0.001533255,0.042947,0.0005055166,0.00008457814,0.0002587318,0.01261017,0.9315396,0.006282439,0.001671303,0.0001472473,0.0005412794],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9728057,0.0001114096,0.02585107,0.00006743138,0.00009275773,0.0005488922,0.0003993781,0.00002325191,0.0001001221],"genre_scores_gemma":[0.9832704,0.00001109755,0.0165666,0.00004559315,0.00001243061,0.00002718699,0.00003973333,0.000008353407,0.0000185784],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9312703,"threshold_uncertainty_score":0.9958033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09954456807472184,"score_gpt":0.2733270052505045,"score_spread":0.1737824371757826,"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."}}