{"id":"W4398757486","doi":"10.2139/ssrn.4823761","title":"Sign Language Recognition Using LSTM","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Hand Gesture Recognition Systems","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Sign language; Computer science; Natural language processing; Sign (mathematics); Speech recognition; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001729202,0.0001269307,0.000127036,0.0002316657,0.0001455978,0.0004663133,0.0003506672,0.00007109376,0.00002733736],"category_scores_gemma":[0.00003116464,0.0001067973,0.0001142303,0.0004657069,0.0000138031,0.0006924067,0.00004112926,0.001148556,0.0004054549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005603942,"about_ca_system_score_gemma":0.00140396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002731721,"about_ca_topic_score_gemma":0.00006315706,"domain_scores_codex":[0.9978083,0.0001490044,0.000242806,0.0002501309,0.000287685,0.001262035],"domain_scores_gemma":[0.9995484,0.0000680278,0.00006612845,0.0001598849,0.00007540898,0.00008213183],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000004744442,0.00002684587,0.00002124744,0.00002483728,0.0001407627,0.0001086761,0.001171286,0.00001701803,0.004953104,0.03416133,0.0002043218,0.9591658],"study_design_scores_gemma":[0.001216297,0.0007158087,0.00007358196,0.0009498893,0.0001352444,0.03681416,0.004673606,0.06288612,0.005678961,0.8670651,0.01852382,0.001267372],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05371312,0.01024744,0.9319911,0.0005766609,0.001173046,0.0001072991,0.000002332376,0.0002469539,0.001942065],"genre_scores_gemma":[0.9950722,0.0005840914,0.002603094,0.0001059048,0.0009132474,0.000004067705,0.000003061802,0.00001997446,0.0006943932],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9578984,"threshold_uncertainty_score":0.5211437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01885259900684919,"score_gpt":0.2700822615825098,"score_spread":0.2512296625756605,"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."}}