{"id":"W4407898168","doi":"10.2139/ssrn.5115825","title":"Sign language recognition using LSTM","year":2025,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Hand Gesture Recognition Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Computer science; Sign language; Sign (mathematics); Speech recognition; Natural language processing; Artificial intelligence; Linguistics; Mathematics; Philosophy","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":[0.0002621221,0.0005156565,0.0005413272,0.0005300979,0.0002557734,0.0007493468,0.000444204,0.0006864006,0.006160604],"category_scores_gemma":[0.0007243601,0.0002060078,0.0004270688,0.0006962333,0.0001791253,0.0008136216,0.0006827475,0.0007787647,0.004889949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002660349,"about_ca_system_score_gemma":0.0007687023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003179322,"about_ca_topic_score_gemma":0.005272846,"domain_scores_codex":[0.9998124,0.00002013529,0.00001478142,0.00005516382,0.0000567928,0.0000406135],"domain_scores_gemma":[0.9997839,0.00004128771,0.00001752226,0.00003579508,0.0001031236,0.00001840662],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001721942,0.00009950906,0.001083099,0.0001224762,0.00004528065,0.0002021448,0.00004655053,0.009942758,0.131345,0.001645737,0.009876481,0.8454187],"study_design_scores_gemma":[0.00002714093,0.0002618281,0.004679137,0.00007881392,0.00009045398,0.0006236698,0.00008160512,0.8337893,0.1417779,0.005128793,0.01340354,0.00005776668],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0761714,0.00109273,0.8907059,0.0004885189,0.0008154286,0.000136657,0.001549216,0.01572823,0.01331194],"genre_scores_gemma":[0.6911038,0.000902057,0.2745402,0.0006018037,0.0001791127,0.0001975514,0.003488561,0.000354016,0.02863295],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006160604,"threshold_uncertainty_score":0.02060932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01387932665706056,"score_gpt":0.2684516152907209,"score_spread":0.2545722886336604,"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."}}