{"id":"W2395804249","doi":"","title":"NOAH for Wheelchair Users with Cognitive Impairment: Navigation and Obstacle Avoidance Help.","year":2008,"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; Cognitive impairment; Obstacle avoidance; Cognition; Computer science; Physical medicine and rehabilitation; Human–computer interaction; Collision avoidance; Psychology; Artificial intelligence; Computer security; Mobile robot; Robot; Medicine; Collision; Psychiatry; World Wide Web","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":[0.00007612902,0.0001021654,0.0001082412,0.00005011738,0.0002063548,0.00003039159,0.0001641563,0.00004567809,0.000001790055],"category_scores_gemma":[0.00001645235,0.00008074562,0.00002015088,0.0001720716,0.000150613,0.0002660606,0.00004862334,0.00007617577,0.000008094141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001945372,"about_ca_system_score_gemma":0.00003155124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002105185,"about_ca_topic_score_gemma":0.00001050469,"domain_scores_codex":[0.9992744,0.00001417091,0.00009307003,0.0003112469,0.0001012014,0.0002058507],"domain_scores_gemma":[0.9995369,0.0001021757,0.00005348572,0.0001480691,0.0001118657,0.00004750632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005797722,0.001507491,0.4688383,0.0003382746,0.0003882328,0.0003954848,0.01043282,0.000176533,0.008404594,0.2752612,0.006933103,0.2267442],"study_design_scores_gemma":[0.01044866,0.005565956,0.7691921,0.0005594915,0.00005595012,0.00140379,0.001809671,0.05783493,0.1386468,0.01025324,0.002578432,0.001650965],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.566041,0.00003974366,0.432744,0.0005227429,0.00002878395,0.0001717692,0.000003259951,0.0002266991,0.000222003],"genre_scores_gemma":[0.962187,0.000008198147,0.03719168,0.0001652995,0.00001270083,0.00004750348,0.000003850435,0.000006542088,0.0003772639],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3961459,"threshold_uncertainty_score":0.3292711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01651897847081276,"score_gpt":0.2347168825477917,"score_spread":0.2181979040769789,"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."}}