{"id":"W4230248116","doi":"10.1007/978-1-4899-7502-7_984-1","title":"Privacy-Preserving Speech Recognition","year":2021,"lang":"en","type":"book-chapter","venue":"","topic":"Speech Recognition and Synthesis","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Computer science; Biometrics; Cloud computing; Internet privacy; Authentication (law); Computer security; Information privacy; Process (computing); World Wide Web","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":[0.0006709268,0.0007707807,0.0005306137,0.0004919968,0.0006011173,0.002691783,0.001099749,0.001163806,0.01956099],"category_scores_gemma":[0.002031458,0.0004789259,0.000430054,0.0007362075,0.001416168,0.002682521,0.001635014,0.001790792,0.0167412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006707563,"about_ca_system_score_gemma":0.0005761846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003556174,"about_ca_topic_score_gemma":0.0004065338,"domain_scores_codex":[0.9990496,0.0001620172,0.0000426181,0.0001824145,0.0004773058,0.00008601812],"domain_scores_gemma":[0.9990401,0.0003303723,0.00003427995,0.0004685285,0.0001080686,0.00001874257],"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":[0.00009155758,0.00004584728,0.00009255921,0.0002364849,0.00001882951,0.0001478457,0.000150113,0.008892505,0.009716276,0.4555322,0.05834131,0.4667345],"study_design_scores_gemma":[0.00001501882,0.00007013541,0.0002423798,0.0001289802,0.00002969338,0.001263492,0.00009109296,0.05144689,0.04284012,0.4769861,0.4268491,0.00003709602],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003234814,0.005667602,0.7722294,0.001929624,0.001074615,0.00006335064,0.0005005757,0.002311302,0.2129886],"genre_scores_gemma":[0.2416663,0.0155584,0.1885795,0.002051244,0.002139484,0.000161604,0.001560566,0.001204038,0.5470788],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01956099,"threshold_uncertainty_score":0.06543803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05978793974264558,"score_gpt":0.2462060424360651,"score_spread":0.1864181026934195,"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."}}