{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009479818,0.0001745409,0.0003003344,0.0001128719,0.0001222846,0.0001247744,0.0001116539,0.00007539464,0.00001268107],"category_scores_gemma":[0.00007501,0.0001600706,0.00007226512,0.0001504838,0.00004525256,0.0001985769,0.000009627963,0.0002384973,0.000006171409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001735027,"about_ca_system_score_gemma":0.00008057591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002291443,"about_ca_topic_score_gemma":0.000373479,"domain_scores_codex":[0.9984184,0.0002349993,0.0003354568,0.0004553492,0.0001260765,0.0004296986],"domain_scores_gemma":[0.9993046,0.0002871508,0.00009346332,0.0002070993,0.00003410567,0.00007361019],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001227522,0.000180335,0.0009000896,0.00002697568,0.00002333414,0.00009246947,0.0002052404,0.0003917959,0.9955115,0.00122335,0.00008376618,0.001238433],"study_design_scores_gemma":[0.01144808,0.00150049,0.00460346,0.0002109312,0.0001152238,0.001591311,0.004246541,0.9221947,0.04184151,0.0003371979,0.01091572,0.0009948331],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9803557,0.00006549143,0.01633045,0.001920125,0.0005658239,0.0006000399,0.00005621459,0.00004908536,0.00005705694],"genre_scores_gemma":[0.9956552,0.00002145156,0.00001959142,0.00374694,0.00007454369,0.0002103733,0.00001515221,0.00002198122,0.0002347524],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.95367,"threshold_uncertainty_score":0.6527489,"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."}}