{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004766131,0.0001739626,0.000233741,0.0002352648,0.0006339118,0.0001083205,0.0009943857,0.00005499811,0.00005554984],"category_scores_gemma":[0.00006521479,0.0001578114,0.0001356839,0.0004941475,0.00005326002,0.0001304774,0.000409568,0.0001998021,0.00003458051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002331292,"about_ca_system_score_gemma":0.0001270288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002497748,"about_ca_topic_score_gemma":0.00001566641,"domain_scores_codex":[0.9983918,0.00009193407,0.0002461977,0.0005784416,0.0002976893,0.0003939325],"domain_scores_gemma":[0.9987184,0.0003716137,0.0001282214,0.0005900476,0.0001192933,0.00007246633],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001886856,0.002160474,0.04834817,0.000389802,0.0002588354,0.0003538943,0.001068015,0.008207071,0.01223842,0.6994634,0.07173201,0.1555912],"study_design_scores_gemma":[0.004792572,0.00191261,0.1168974,0.0003084586,0.0000463255,0.0001291064,0.002433682,0.7645512,0.02396663,0.001627878,0.0814228,0.001911346],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02381857,0.0000218819,0.9689127,0.002374001,0.001034749,0.0004332537,0.00001895262,0.001329834,0.002056091],"genre_scores_gemma":[0.9756152,9.958406e-8,0.02304398,0.000312389,0.00002054844,0.0004384809,0.000006072894,0.00001613748,0.0005470667],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9517967,"threshold_uncertainty_score":0.6435364,"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."}}