{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001463446,0.000265043,0.0003196884,0.0002573269,0.0007631086,0.0002648462,0.0003513889,0.0009964487,0.004463249],"category_scores_gemma":[0.0007804095,0.00006881705,0.0002467421,0.0001590168,0.0001108135,0.000373351,0.000455862,0.0003566899,0.0007129755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002167496,"about_ca_system_score_gemma":0.0007768309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004245797,"about_ca_topic_score_gemma":0.02222296,"domain_scores_codex":[0.9999349,0.00001507955,0.000005322418,0.000006532692,0.00001731915,0.00002084598],"domain_scores_gemma":[0.9999263,0.00001219576,0.000007833146,0.000002262595,0.00001140797,0.00003991102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002567581,0.002819402,0.01649184,0.002194565,0.00009253804,0.002068402,0.0006479861,0.0001731323,0.00332272,0.0004681064,0.0345734,0.9345803],"study_design_scores_gemma":[0.005030476,0.0232848,0.6121386,0.006268638,0.002143215,0.02312438,0.01129094,0.005675654,0.009410394,0.005914387,0.2954175,0.0003009573],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8347914,0.06618325,0.007047173,0.01757217,0.00183743,0.001867586,0.0009738217,0.0007785567,0.06894855],"genre_scores_gemma":[0.9346843,0.02225433,0.01083454,0.004847773,0.0003245977,0.001233877,0.0007988675,0.00001696152,0.02500482],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004463249,"threshold_uncertainty_score":0.01493108,"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."}}