{"id":"W4388474035","doi":"10.18280/ria.370529","title":"Machine Learning and Vision Based Techniques for Detecting and Recognizing Indian Sign Language","year":2023,"lang":"en","type":"article","venue":"Revue d intelligence artificielle","topic":"Hand Gesture Recognition Systems","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sign (mathematics); Sign language; Artificial intelligence; Computer science; Natural language processing; Computer vision; Linguistics; Mathematics; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.000772388,0.0007240525,0.0006562343,0.002541196,0.0004404209,0.00102517,0.0008334038,0.0009410828,0.001441909],"category_scores_gemma":[0.001487276,0.0002700936,0.0008720094,0.002036424,0.0005544701,0.001125213,0.0006746353,0.000970693,0.001182862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005055597,"about_ca_system_score_gemma":0.0007794771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003477079,"about_ca_topic_score_gemma":0.004560629,"domain_scores_codex":[0.9992638,0.00009801137,0.00006363153,0.0001562762,0.0003256345,0.00009255693],"domain_scores_gemma":[0.9994777,0.0001634924,0.00008176003,0.0000750653,0.0001803264,0.00002177507],"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":[0.00005722116,0.0001720271,0.003273391,0.0002329018,0.00007507147,0.0001956216,0.0000963513,0.02580127,0.05597211,0.003895634,0.004901579,0.9053268],"study_design_scores_gemma":[0.00001177059,0.0001927349,0.009130517,0.00009282822,0.00007889786,0.0008203176,0.0002265614,0.9198182,0.04887657,0.007067875,0.01361867,0.00006495819],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0468683,0.003183775,0.9383902,0.0006622695,0.0003390218,0.0001228195,0.0002518457,0.002179072,0.008002685],"genre_scores_gemma":[0.4474747,0.004275779,0.5373386,0.0005179424,0.0002531331,0.0001711385,0.0009215424,0.0001028159,0.008944388],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003477079,"threshold_uncertainty_score":0.006913662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03497680019877773,"score_gpt":0.3103470881121834,"score_spread":0.2753702879134056,"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."}}