{"id":"W4361732991","doi":"10.1109/hpcc-dss-smartcity-dependsys57074.2022.00295","title":"A Vision-Based Low-Cost Power Wheelchair Assistive Driving System for Smartphones","year":2022,"lang":"en","type":"article","venue":"","topic":"Gaze Tracking and Assistive Technology","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"National Science Foundation","keywords":"Computer science; Android (operating system); Wheelchair; Embedded system; Mobile device; Robot; Process (computing); Mobile phone; Human–computer interaction; Simulation; Artificial intelligence","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":[0.00009877572,0.0004751941,0.0003860612,0.0002952945,0.0001917082,0.0002268341,0.0005542701,0.0003248853,0.002981526],"category_scores_gemma":[0.0003098365,0.0001560213,0.0002277563,0.000124645,0.00008317189,0.0002929142,0.0003767855,0.000218475,0.001175801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001736782,"about_ca_system_score_gemma":0.0003955471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005109068,"about_ca_topic_score_gemma":0.00621035,"domain_scores_codex":[0.9998932,0.000008434325,0.000008255467,0.0000268676,0.00004567482,0.0000176202],"domain_scores_gemma":[0.9998773,0.00001147282,0.00001031744,0.00001321771,0.00007227081,0.00001532166],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008071752,0.0003732587,0.00507371,0.0006770549,0.0001122547,0.001092449,0.000246902,0.005955368,0.3347374,0.0007149294,0.01453309,0.6356765],"study_design_scores_gemma":[0.0004111799,0.004066914,0.05220544,0.0001842463,0.0004640864,0.005222844,0.0002641478,0.5878986,0.2964146,0.0009036254,0.05169999,0.0002644591],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3948508,0.002249777,0.5563584,0.0005023779,0.0004628886,0.0008315024,0.001111355,0.03100359,0.01262941],"genre_scores_gemma":[0.9124072,0.0004561474,0.07845664,0.000286541,0.00004691601,0.000243426,0.0007330795,0.00009619878,0.007273809],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005109068,"threshold_uncertainty_score":0.01015866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008692455537806256,"score_gpt":0.2405948007296321,"score_spread":0.2319023451918259,"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."}}