{"id":"W3213356319","doi":"10.1109/ismar-adjunct54149.2021.00097","title":"Designing a Multi-Modal Communication System for the Deaf and Hard-of-Hearing Users","year":2021,"lang":"en","type":"article","venue":"","topic":"Hand Gesture Recognition Systems","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Sign language; Computer science; Interpreter; Gesture; Spoken language; American Sign Language; Human–computer interaction; Population; Cued speech; Multimedia; Natural language processing; Artificial intelligence; Linguistics; Programming language","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":[0.0005527139,0.00005582354,0.0001085547,0.00002603859,0.000167315,0.0001270062,0.0002725454,0.00003361566,8.999326e-7],"category_scores_gemma":[0.00005942735,0.00003904147,0.00003613808,0.0001368447,0.0000203141,0.0001600157,0.0001370515,0.00005031498,0.000003076835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001699455,"about_ca_system_score_gemma":0.00004354563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004292153,"about_ca_topic_score_gemma":0.00004630999,"domain_scores_codex":[0.9993654,0.000118041,0.0001708656,0.0001500795,0.00009644415,0.00009911885],"domain_scores_gemma":[0.9987326,0.0005920731,0.00006815091,0.000408034,0.0001674483,0.0000316484],"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":[0.00005824559,0.0003442007,0.04048296,0.002916837,0.0008843642,0.00002463186,0.03701097,0.001696846,0.2313158,0.29855,0.001503514,0.3852117],"study_design_scores_gemma":[0.002547985,0.00006969256,0.01626694,0.0009001811,0.00006475555,0.0002785682,0.009664243,0.7522014,0.2123978,0.0002746103,0.004909047,0.000424802],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005843639,0.0007281403,0.9921971,0.0004223583,0.0001250568,0.0002339891,0.000001084452,0.00006504462,0.0003835793],"genre_scores_gemma":[0.7334143,0.00001373669,0.2663516,0.00003945912,0.0000120485,0.00003653314,8.619418e-7,0.000003618716,0.0001277954],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7505046,"threshold_uncertainty_score":0.1592065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08124216141907392,"score_gpt":0.2880454403060269,"score_spread":0.206803278886953,"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."}}