{"id":"W1486595902","doi":"10.1177/0145482x0309701007","title":"A Haptic Glove as a Tactile-Vision Sensory Substitution for Wayfinding","year":2003,"lang":"en","type":"article","venue":"Journal of Visual Impairment & Blindness","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Sensory substitution; Obstacle; Wearable computer; Computer vision; Computer science; Haptic technology; Human–computer interaction; Sensory system; Artificial intelligence; Wired glove; Simulation; Psychology; Cognitive psychology; Embedded system","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005760578,0.0005050091,0.0002701666,0.000315661,0.0001923085,0.0005855168,0.0008789389,0.0007446127,0.003075715],"category_scores_gemma":[0.002174656,0.0002442323,0.0003310971,0.0001340323,0.0004781432,0.0009458322,0.0007377203,0.0002792511,0.0005219344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008117057,"about_ca_system_score_gemma":0.0001779673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000203382,"about_ca_topic_score_gemma":0.0003213615,"domain_scores_codex":[0.9997057,0.00009668543,0.00001921724,0.00003353183,0.00011309,0.00003172551],"domain_scores_gemma":[0.9988787,0.0006667683,0.00007682617,0.0001367721,0.0001516661,0.00008929977],"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":[0.001258063,0.0003114007,0.003808964,0.0009633279,0.0001027954,0.002167222,0.001056912,0.002287317,0.7958645,0.00516123,0.001602971,0.1854155],"study_design_scores_gemma":[0.0008105576,0.02244278,0.05433682,0.001086506,0.0007768829,0.05205222,0.001607859,0.08513802,0.7141106,0.01003664,0.05695934,0.0006417452],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6065426,0.001350046,0.3816766,0.0004816476,0.0002247768,0.0004869648,0.0002705476,0.001913021,0.007053666],"genre_scores_gemma":[0.8713289,0.0003806929,0.1245447,0.0001859723,0.00001824143,0.0001172003,0.0000633368,0.00004825666,0.003312608],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003075715,"threshold_uncertainty_score":0.01028931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05607969356577138,"score_gpt":0.3815438171291604,"score_spread":0.325464123563389,"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."}}