{"id":"W2751916917","doi":"10.1145/3098279.3119919","title":"Speech and Hands-free interaction","year":2017,"lang":"en","type":"article","venue":"","topic":"Speech and dialogue systems","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Modalities; Human–computer interaction; Focus (optics); Modality (human–computer interaction); Usability; Natural (archaeology); Natural language; Field (mathematics); Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.0001091785,0.00004264729,0.00005469026,0.00002621806,0.0001721813,0.0005495441,0.0006177281,0.00002310493,0.00001870576],"category_scores_gemma":[0.00009264745,0.00003349249,0.00001441657,0.00001479873,0.00002034364,0.0006355986,0.0003214366,0.00003341734,0.0001377885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006595496,"about_ca_system_score_gemma":0.000009170859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003888409,"about_ca_topic_score_gemma":0.0001897452,"domain_scores_codex":[0.9996197,0.000008561673,0.00006037343,0.0001442448,0.00007791333,0.00008916985],"domain_scores_gemma":[0.9990557,0.00001772274,0.00004596289,0.0008080877,0.0000212312,0.0000513235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00003521531,0.00007349297,0.03311782,0.00003450578,0.00003476891,0.000106796,0.0007835237,0.000001012545,0.003707281,0.2243045,0.1006785,0.6371226],"study_design_scores_gemma":[0.01188733,0.0008110333,0.4970271,0.0001614571,0.00001693775,0.00103175,0.000242884,0.04439398,0.1374406,0.1533708,0.1523025,0.001313757],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3562707,0.00007376287,0.1236136,0.004586895,0.002885166,0.0001926994,0.000001040339,0.0002863534,0.5120898],"genre_scores_gemma":[0.9903309,0.000004531955,0.007208076,0.0001040706,0.0001141854,0.000001927848,2.127912e-7,0.000001791743,0.002234241],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6358088,"threshold_uncertainty_score":0.5299266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02658231902073108,"score_gpt":0.2728499934417385,"score_spread":0.2462676744210074,"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."}}