{"id":"W4363676682","doi":"10.36227/techrxiv.22337803.v1","title":"A Wearable RFID-Based Navigation System for the Visually Impaired","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Wearable computer; Navigation system; Computer science; Set (abstract data type); Human–computer interaction; Orientation (vector space); Simple (philosophy); Visually impaired; Wearable technology; Identification (biology); Embedded system; Computer vision; Real-time computing","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":[0.0002342339,0.0004107594,0.0003638201,0.0003307081,0.0002637579,0.0003320888,0.000544861,0.0005803718,0.002371175],"category_scores_gemma":[0.0003531363,0.0001502711,0.0002968286,0.0002651266,0.0001665075,0.0005421961,0.0005500312,0.000211024,0.001281921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001323692,"about_ca_system_score_gemma":0.0002941116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004866002,"about_ca_topic_score_gemma":0.000727419,"domain_scores_codex":[0.9998683,0.00002271546,0.00001145613,0.0000413522,0.00004024458,0.00001592499],"domain_scores_gemma":[0.9998368,0.00002050271,0.00001928124,0.00003056748,0.00007170378,0.00002103312],"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":[0.000691141,0.0001683246,0.002776838,0.0007335803,0.00007290542,0.0008048114,0.0004128588,0.0007952424,0.6414106,0.001337273,0.003944612,0.3468519],"study_design_scores_gemma":[0.0004231457,0.01119509,0.06228139,0.0005873843,0.001053979,0.0239334,0.0008568852,0.05535699,0.6816928,0.003023087,0.1591056,0.0004902578],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3439913,0.005414196,0.632555,0.0004157349,0.000666041,0.0003169859,0.0006438264,0.006379108,0.009617787],"genre_scores_gemma":[0.7673802,0.001691559,0.2146921,0.0004024755,0.00008734618,0.0001938341,0.0003554077,0.00009157993,0.01510533],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002371175,"threshold_uncertainty_score":0.007932305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1099923912485105,"score_gpt":0.349819237307981,"score_spread":0.2398268460594706,"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."}}