{"id":"W4388951008","doi":"10.1109/icccnt56998.2023.10307372","title":"A Comparative Study of Deep Learning Models for American SL Recognition","year":2023,"lang":"en","type":"article","venue":"","topic":"Hand Gesture Recognition Systems","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gesture; Computer science; Alphabet; Artificial intelligence; Transformer; Deep learning; Speech recognition; Machine learning; Natural language processing; Linguistics; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004366505,0.001917822,0.000852676,0.001504837,0.000480403,0.001128181,0.001397459,0.001101816,0.001835136],"category_scores_gemma":[0.007942561,0.0003739929,0.0008501018,0.001232218,0.0004192411,0.002508283,0.001115782,0.001519471,0.00113204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001602362,"about_ca_system_score_gemma":0.001214961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03026866,"about_ca_topic_score_gemma":0.03437242,"domain_scores_codex":[0.9980812,0.0005562433,0.0002035689,0.0004258481,0.0005066846,0.0002264176],"domain_scores_gemma":[0.9961389,0.001867749,0.0001459007,0.0004357277,0.001234289,0.0001774675],"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":[0.001138568,0.0005690671,0.01490046,0.0004456494,0.0004154759,0.0001963824,0.0002126897,0.319003,0.006804135,0.002355665,0.013016,0.6409429],"study_design_scores_gemma":[0.0000218551,0.0003347231,0.003188388,0.00008158366,0.00006666836,0.00007819135,0.000169133,0.9855757,0.006752944,0.0009487787,0.002748357,0.00003371362],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7343472,0.0187131,0.2025102,0.002481374,0.001009506,0.0002708097,0.003086565,0.009846386,0.0277348],"genre_scores_gemma":[0.9154173,0.00311123,0.06726931,0.0005488913,0.00008612491,0.0001152472,0.005778138,0.0002817976,0.007391869],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03026866,"threshold_uncertainty_score":0.06018496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1307649516491318,"score_gpt":0.3329196218026793,"score_spread":0.2021546701535474,"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."}}