{"id":"W3141201723","doi":"10.1109/tim.2021.3069834","title":"An RFID-Based Assistive Glove to Help the Visually Impaired","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Instrumentation and Measurement","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Iran National Science Foundation","keywords":"Human–computer interaction; Wearable computer; Computer science; Assistive technology; Perception; Radio-frequency identification; Wired glove; Identification (biology); Blindness; Wearable technology; Assistive device; Computer vision; Sonification; Sensory substitution; Artificial intelligence; Embedded system; Physical medicine and rehabilitation; Virtual reality; Psychology; Computer security","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":[0.0001039392,0.0001512793,0.0001083178,0.0001044342,0.0005466255,0.0001637141,0.00009091604,0.00003935513,0.0002974152],"category_scores_gemma":[0.00003395079,0.0001249174,0.00007327837,0.0003033369,0.00004698224,0.0002297759,8.070235e-7,0.0001676124,0.00007334688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000196986,"about_ca_system_score_gemma":0.0001543268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004377286,"about_ca_topic_score_gemma":0.0003996953,"domain_scores_codex":[0.9983859,0.0002423179,0.0002242486,0.0003859519,0.0005713748,0.000190175],"domain_scores_gemma":[0.9992581,0.00009095141,0.00005808268,0.0002588039,0.0001651068,0.0001689797],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000181424,0.0005455642,0.00003961267,0.000007223868,0.00002151722,0.000007981561,0.0007953337,0.003507162,0.9532083,0.0001037832,0.0001495241,0.04143258],"study_design_scores_gemma":[0.0006741058,0.0003415903,0.001826129,0.00002857228,0.00004066913,0.00002008195,0.001708212,0.001636341,0.9913003,0.00001565827,0.002261566,0.0001467124],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7680334,0.000003098487,0.2243488,0.004378345,0.001358759,0.0005496852,0.00008056938,0.0001114702,0.00113586],"genre_scores_gemma":[0.9932066,0.00001121679,0.0002528358,0.006170952,0.0000322804,0.0001083919,0.000002417891,0.00001458666,0.0002006774],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2251733,"threshold_uncertainty_score":0.5093982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0757067238498756,"score_gpt":0.3187147779343137,"score_spread":0.2430080540844381,"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."}}