{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002632622,0.0005173237,0.0005439879,0.0005315543,0.0002575264,0.0007532483,0.0004464455,0.0006905513,0.006190308],"category_scores_gemma":[0.0007236421,0.0002075353,0.0004293036,0.0006965001,0.0001799029,0.0008146313,0.0006876486,0.0007813344,0.004930002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002674094,"about_ca_system_score_gemma":0.0007750493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003189142,"about_ca_topic_score_gemma":0.005273354,"domain_scores_codex":[0.9998111,0.00002020929,0.0000148675,0.00005564048,0.00005723057,0.00004095163],"domain_scores_gemma":[0.9997832,0.00004129671,0.00001753244,0.00003597575,0.0001035151,0.00001847276],"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":[0.0001724087,0.00009992591,0.001089275,0.0001221289,0.00004556445,0.0002033002,0.00004653789,0.01000403,0.1318841,0.001658184,0.009872148,0.8448024],"study_design_scores_gemma":[0.00002719281,0.0002602596,0.004664448,0.0000782591,0.00009025144,0.0006211631,0.00008095906,0.8341596,0.1414329,0.005144874,0.01338226,0.00005783985],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07567052,0.001083014,0.8911381,0.000486755,0.0008112731,0.0001363748,0.001542069,0.01584345,0.01328849],"genre_scores_gemma":[0.6909283,0.0008932867,0.2746852,0.0006022663,0.0001788164,0.0001982379,0.003506948,0.0003564218,0.02865041],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006190308,"threshold_uncertainty_score":0.02070862,"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."}}