{"id":"W2167584018","doi":"10.1109/tnsre.2007.891385","title":"An Intelligent Powered Wheelchair to Enable Mobility of Cognitively Impaired Older Adults: An Anticollision System","year":2007,"lang":"en","type":"article","venue":"IEEE Transactions on Neural Systems and Rehabilitation Engineering","topic":"Gaze Tracking and Assistive Technology","field":"Computer Science","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Toronto","funders":"","keywords":"Wheelchair; Physical medicine and rehabilitation; Computer science; Cognition; Object (grammar); Simulation; Human–computer interaction; Psychology; Medicine; Artificial intelligence; Neuroscience","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":[0.0006536275,0.0001904645,0.0002825683,0.0004080534,0.0001160938,0.00005641215,0.0002211821,0.0001176388,8.790954e-7],"category_scores_gemma":[0.00002057056,0.000171905,0.00006990474,0.0004935826,0.00004672891,0.0004176485,0.000003062108,0.0001555528,0.000001955858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001045545,"about_ca_system_score_gemma":0.00001461807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001992154,"about_ca_topic_score_gemma":0.00001338429,"domain_scores_codex":[0.9984429,0.00007998151,0.0005066379,0.0004786087,0.0002220648,0.0002698179],"domain_scores_gemma":[0.9987758,0.0002997334,0.00008839087,0.0004040746,0.0002425533,0.000189433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003706015,0.002076046,0.001035097,0.00263236,0.00009749346,0.00002544297,0.01388597,0.7171902,0.131882,0.006313355,0.000009955007,0.1244815],"study_design_scores_gemma":[0.0007593972,0.003049425,0.0392797,0.001058677,0.00001903063,0.00004831434,0.005641473,0.918327,0.03135424,0.00001038344,0.00003223201,0.0004200874],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4884909,0.00002118193,0.5103951,0.00003683526,0.0004076102,0.0003803981,0.000008552071,0.0002562322,0.000003242269],"genre_scores_gemma":[0.9926673,0.000001803479,0.007227319,0.000006859621,0.00002309803,0.00005093965,0.000001128281,0.00001587532,0.000005725345],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5041763,"threshold_uncertainty_score":0.7010081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007369073360531972,"score_gpt":0.2362663716878287,"score_spread":0.2288972983272968,"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."}}