{"id":"W1752035993","doi":"10.3233/nre-2011-0655","title":"The future of intelligent assistive technologies for cognition: Devices under development to support independent living and aging-with-choice","year":2011,"lang":"en","type":"article","venue":"Neurorehabilitation","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Rehabilitation Institute; University of Toronto","funders":"","keywords":"Cognition; Context (archaeology); Independent living; Process (computing); Assistive technology; Human–computer interaction; Computer science; Psychology; Gerontology; Medicine; 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":[0.0004977916,0.0001273967,0.0001385737,0.0001301446,0.0001990393,0.00008410123,0.000307929,0.00005386812,0.000002955225],"category_scores_gemma":[0.0003137512,0.0000921994,0.00003156655,0.0002580132,0.00008182117,0.0003672467,0.000166428,0.00008786131,0.000006512075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004582489,"about_ca_system_score_gemma":0.0000887474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001123874,"about_ca_topic_score_gemma":0.0005851405,"domain_scores_codex":[0.9988348,0.0000901089,0.0002975017,0.0003633373,0.0002495027,0.0001647013],"domain_scores_gemma":[0.9972112,0.001856988,0.0001812615,0.0002586081,0.0004498252,0.00004207242],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00004394468,0.0001386808,0.03331615,0.0001494287,0.00006005314,0.000001350298,0.01236405,0.000006651168,0.000528894,0.002679345,0.000108131,0.9506033],"study_design_scores_gemma":[0.0003895818,0.00174077,0.9518306,0.0002742539,0.00003288938,0.00003455636,0.01698908,0.0003206958,0.01464578,0.002344012,0.01100746,0.0003902678],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4249154,0.0001223217,0.571386,0.001635987,0.0003721073,0.001168618,0.000007536164,0.0001997368,0.0001922522],"genre_scores_gemma":[0.9797226,0.00000490319,0.01980155,0.0001115587,0.00002006639,0.0003111086,0.000002139118,0.000008713738,0.00001732474],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9502131,"threshold_uncertainty_score":0.3759783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04012943622731897,"score_gpt":0.2757411121726763,"score_spread":0.2356116759453573,"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."}}