{"id":"W2278250372","doi":"","title":"An Intelligent Powered Wheelchair for Users with Dementia: Case Studies with NOAH (Navigation and Obstacle Avoidance Help).","year":2012,"lang":"en","type":"article","venue":"","topic":"Gaze Tracking and Assistive Technology","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of British Columbia","funders":"","keywords":"Wheelchair; Obstacle avoidance; Obstacle; Dementia; Cognitive impairment; Computer science; Human–computer interaction; Quality of life (healthcare); Navigation system; Physical medicine and rehabilitation; Cognition; Collision avoidance; Psychology; Computer security; Artificial intelligence; Medicine; World Wide Web; Psychiatry; Mobile robot","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":[0.0002166786,0.0001428384,0.0001511754,0.00006015896,0.0001996251,0.00005976411,0.0001770478,0.00004021102,0.000001437274],"category_scores_gemma":[0.00001319742,0.00009532314,0.00001404408,0.0001633319,0.00013801,0.0005875645,0.00006068484,0.00007753482,0.000002680391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003064316,"about_ca_system_score_gemma":0.00001660376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002913858,"about_ca_topic_score_gemma":0.0001312085,"domain_scores_codex":[0.999127,0.00002648742,0.0001244828,0.000307494,0.0001086958,0.0003057858],"domain_scores_gemma":[0.9993026,0.00007316882,0.00007726293,0.0003148713,0.0001450404,0.00008710921],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003189507,0.001459239,0.4661981,0.0004351728,0.001456539,0.0006615886,0.01924226,0.0004676722,0.005355371,0.2791792,0.001371674,0.2238542],"study_design_scores_gemma":[0.01584099,0.0274766,0.1737201,0.001528483,0.001231387,0.02604078,0.08746354,0.09485587,0.5331857,0.01636964,0.01492429,0.00736264],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5516912,0.0004716606,0.4470955,0.000310596,0.00005737178,0.0001725862,0.000001571117,0.0001736595,0.00002589889],"genre_scores_gemma":[0.8931971,0.00001402999,0.1065669,0.0000912207,0.00001932403,0.00004823055,0.000001970276,0.000008865543,0.00005236293],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5278303,"threshold_uncertainty_score":0.3887165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02943531164804043,"score_gpt":0.2952973514709236,"score_spread":0.2658620398228832,"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."}}