{"id":"W3140173391","doi":"10.1115/1.4050186","title":"An Inconspicuous, Integrated Electronic Travel Aid for Visual Impairment","year":2021,"lang":"en","type":"article","venue":"ASME Letters in Dynamic Systems and Control","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"York University; Division of Civil, Mechanical and Manufacturing Innovation; New York University; National Science Foundation","keywords":"Leverage (statistics); Wearable computer; Visual impairment; Computer science; Human–computer interaction; Population; Obstacle; Assistive technology; Wearable technology; Computer vision; Artificial intelligence; Medicine; Embedded system","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":[0.0001488591,0.0003778239,0.0002244782,0.0002844412,0.0003097278,0.0005234478,0.0007100381,0.0005430831,0.007265305],"category_scores_gemma":[0.0003424074,0.0001033888,0.0002274481,0.0001316774,0.0002849702,0.0005573943,0.0008538028,0.0003038206,0.001506211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001562281,"about_ca_system_score_gemma":0.0003430492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006154959,"about_ca_topic_score_gemma":0.001088589,"domain_scores_codex":[0.9998989,0.00001384511,0.000006963752,0.0000233759,0.00003715419,0.0000197984],"domain_scores_gemma":[0.9998897,0.00001896611,0.00001178809,0.00001738041,0.0000408954,0.00002121757],"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":[0.0009796064,0.0006282757,0.003856387,0.001108781,0.0001100295,0.003472362,0.0004602594,0.002996967,0.5765638,0.004563677,0.01840397,0.3868559],"study_design_scores_gemma":[0.000448413,0.01137864,0.03851964,0.0006602179,0.0006683132,0.03617326,0.001601233,0.09094103,0.5177603,0.009288105,0.2921586,0.0004023349],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6035614,0.004309846,0.3464265,0.002740346,0.001183416,0.0004446373,0.0006758341,0.004437147,0.03622083],"genre_scores_gemma":[0.9043521,0.0008116722,0.07000197,0.000873785,0.00007087313,0.0001164561,0.0001522244,0.00006190313,0.02355908],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007265305,"threshold_uncertainty_score":0.02430487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007116672090074504,"score_gpt":0.2646356816481163,"score_spread":0.2575190095580418,"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."}}