{"id":"W4412474084","doi":"10.52968/15069208","title":"Kenyan Sign Language (KSL) Dataset: Using Artificial Intelligence (AI) in Bridging Communication Barrier among the Deaf Learners","year":2023,"lang":"en","type":"article","venue":"","topic":"Hearing Impairment and Communication","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Development Research Centre; Styrelsen för Internationellt Utvecklingssamarbete","keywords":"Bridging (networking); Sign language; Language barrier; Computer science; Kenya; Natural language processing; Artificial intelligence; Linguistics; Computer security; Political science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.001122889,0.0008281869,0.0004840105,0.002531317,0.001679591,0.00103489,0.001337504,0.001493286,0.005128544],"category_scores_gemma":[0.004668489,0.0002191337,0.0005213211,0.001617467,0.0005464376,0.001276472,0.002355846,0.001100598,0.004971486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001375734,"about_ca_system_score_gemma":0.002094236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04014879,"about_ca_topic_score_gemma":0.1066951,"domain_scores_codex":[0.9989057,0.0002786113,0.0001764866,0.0001892858,0.0002687268,0.0001812597],"domain_scores_gemma":[0.9977759,0.0007230468,0.0001936407,0.0002996307,0.0007256643,0.0002821796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001037103,0.001100024,0.1192582,0.004713729,0.0001843308,0.002979758,0.006801345,0.002308482,0.01338685,0.003425235,0.7273935,0.1174114],"study_design_scores_gemma":[0.000289362,0.0003431026,0.2445451,0.001166327,0.0001284383,0.001370598,0.01479786,0.008846096,0.008261064,0.001401834,0.7186118,0.0002383868],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.1736242,0.0008438458,0.002751541,0.001188457,0.000222804,0.00106189,0.8091219,0.001537412,0.009647924],"genre_scores_gemma":[0.06583208,0.0002385605,0.007090242,0.0002015251,0.00002901401,0.001662745,0.9211987,0.00008178086,0.003665522],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04014879,"threshold_uncertainty_score":0.07983023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0915314569934913,"score_gpt":0.3960550686016807,"score_spread":0.3045236116081894,"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."}}