{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001069673,0.0004696413,0.0003238163,0.0005067685,0.000329846,0.001853156,0.0008865327,0.001960393,0.009606086],"category_scores_gemma":[0.001642422,0.0001417946,0.0002775918,0.0006613059,0.0006901398,0.005082476,0.001014418,0.001011293,0.002688586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004185247,"about_ca_system_score_gemma":0.0008122579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006786835,"about_ca_topic_score_gemma":0.0009250283,"domain_scores_codex":[0.9996388,0.00008368902,0.00002389642,0.00004496615,0.0001551806,0.0000534081],"domain_scores_gemma":[0.9991226,0.0003598985,0.00008633344,0.00005734741,0.000242462,0.0001312991],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002220601,0.0001326699,0.002119775,0.0006728856,0.00002837534,0.0001368766,0.0003320829,0.0008098816,0.007326404,0.04395293,0.02678078,0.9174852],"study_design_scores_gemma":[0.00004585312,0.0006635849,0.004883172,0.0008266949,0.00008481873,0.001109975,0.0007108673,0.009796483,0.00618769,0.06017315,0.9154421,0.00007562072],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.06275695,0.4829095,0.2173848,0.04521217,0.002735647,0.0002440821,0.0007635768,0.002748235,0.1852451],"genre_scores_gemma":[0.4621282,0.2452122,0.2200951,0.009774109,0.001835186,0.0004229875,0.001335094,0.0001981478,0.05899893],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.009606086,"threshold_uncertainty_score":0.03213561,"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."}}