{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001147404,0.0001287099,0.0001679227,0.0002599179,0.0003041813,0.0002059436,0.0001722987,0.00008016494,0.000007441665],"category_scores_gemma":[0.0003722745,0.0001236298,0.00004121257,0.0005690184,0.0000341316,0.0002027759,0.0001146212,0.0001621242,0.00004419346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001541455,"about_ca_system_score_gemma":0.00001607434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002574783,"about_ca_topic_score_gemma":0.00002085574,"domain_scores_codex":[0.9988425,0.0000937634,0.0002706533,0.0004219677,0.000103179,0.000267969],"domain_scores_gemma":[0.9988809,0.0006757966,0.0001031421,0.0001829371,0.00006864908,0.0000885488],"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":[0.000005552974,0.00001078296,0.0004112974,0.0001487496,0.000004805392,0.00001640895,0.002943394,0.000165037,0.01765931,0.0001620157,0.0000321626,0.9784405],"study_design_scores_gemma":[0.00005494761,0.0002186057,0.0000341264,0.0003143203,0.000004892843,0.00004203137,0.001284135,0.7707405,0.2191863,0.0007006711,0.007197453,0.0002219756],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0378451,0.0005397522,0.9588624,0.000887427,0.0001497126,0.0005300267,0.000005222169,0.0006486271,0.0005317766],"genre_scores_gemma":[0.9797881,0.00008750991,0.01948802,0.0000837598,0.00006964878,0.00006643251,0.000008407181,0.00001783159,0.0003902408],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9782185,"threshold_uncertainty_score":0.5041477,"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."}}