{"id":"W2022663094","doi":"10.1145/1979742.1979700","title":"Ubiquitous voice synthesis","year":2011,"lang":"en","type":"article","venue":"","topic":"Speech Recognition and Synthesis","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Speech synthesis; Interactivity; Ubiquitous computing; Human–computer interaction; Embodied cognition; Phone; Production (economics); Multimedia; Speech recognition; Artificial intelligence; Linguistics","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":[0.0005874713,0.0007355974,0.0007766433,0.0006245652,0.0007426299,0.002551758,0.0009737284,0.00122958,0.01845219],"category_scores_gemma":[0.001953003,0.000286389,0.0005887056,0.0004087022,0.0006743306,0.002060261,0.003387767,0.0006489506,0.006422882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003628273,"about_ca_system_score_gemma":0.0004279515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005006684,"about_ca_topic_score_gemma":0.0005704304,"domain_scores_codex":[0.9990281,0.0001602635,0.00006297294,0.0002804214,0.0003659551,0.0001022144],"domain_scores_gemma":[0.9995028,0.0001362938,0.00002304873,0.0001505934,0.0001385815,0.0000487345],"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":[0.0005166397,0.0001055623,0.0009428428,0.0009712827,0.00008809109,0.001089499,0.001244074,0.006727115,0.2046324,0.0534513,0.01601102,0.7142202],"study_design_scores_gemma":[0.0001833334,0.0005133089,0.001994034,0.000356678,0.0001445221,0.003246471,0.001176568,0.06638923,0.1343139,0.04837325,0.7431729,0.0001356615],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02196124,0.004370156,0.8645521,0.0005418176,0.0009606984,0.0002699125,0.0005008018,0.008838577,0.0980048],"genre_scores_gemma":[0.606441,0.004023481,0.2958116,0.0008066947,0.000641944,0.0004986233,0.001564311,0.001451593,0.08876064],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01845219,"threshold_uncertainty_score":0.06172878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0597872934221393,"score_gpt":0.2251085287816754,"score_spread":0.1653212353595361,"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."}}