{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002253301,0.0003206861,0.000361091,0.0002387895,0.00009955565,0.0003663286,0.001207919,0.0003549014,0.02115771],"category_scores_gemma":[0.0001485285,0.0003188124,0.0002720454,0.00007439639,0.00002808408,0.0004233952,0.0009110886,0.0003430833,0.004264542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000688478,"about_ca_system_score_gemma":0.0001258142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001171312,"about_ca_topic_score_gemma":0.00002340721,"domain_scores_codex":[0.9981012,0.00003250736,0.0003723281,0.0007365836,0.0004974521,0.0002598678],"domain_scores_gemma":[0.9980369,0.0001845144,0.0001660653,0.001153776,0.0003113089,0.000147408],"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":[0.000001269395,0.00001472363,5.867344e-7,0.00002672764,0.0000493066,0.0002262564,0.00002159488,2.12982e-8,0.00005544283,0.04633505,0.02608529,0.9271837],"study_design_scores_gemma":[0.0002016369,0.00003264491,0.000008869994,0.0004666021,0.00003858696,0.0002689949,0.00001048482,0.0008411361,0.01084072,0.21606,0.7703915,0.0008389353],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0000120923,0.0001875816,0.03439454,0.001302726,0.0005650237,0.0001690236,0.00001229696,0.000421879,0.9629349],"genre_scores_gemma":[0.00001894205,0.0003143174,0.2467097,0.001194604,0.0002338901,0.000007969222,0.00006371335,0.00003634348,0.7514205],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9263448,"threshold_uncertainty_score":0.9999264,"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."}}