{"id":"W36013382","doi":"10.3390/life12081203","title":"A decision-theoretic approach to task assistance for persons with dementia","year":2005,"lang":"en","type":"article","venue":"","topic":"Reinforcement Learning in Robotics","field":"Computer Science","cited_by":160,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Rehabilitation Institute; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Partially observable Markov decision process; Dementia; Task (project management); Personalization; Computer science; Independence (probability theory); Markov decision process; Process (computing); Cognition; Markov process; Artificial intelligence; Human–computer interaction; Cognitive psychology; Risk analysis (engineering); Machine learning; Psychology; Disease; Markov model; Markov chain; Medicine; Engineering; Neuroscience; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002712736,0.0001409064,0.0001300711,0.0000912545,0.0001554059,0.0002212257,0.0008561195,0.00003473452,0.00002589016],"category_scores_gemma":[0.00005751012,0.0001052393,0.00004969545,0.0003292992,0.00003379925,0.0002854029,0.0001384277,0.00007384959,0.00006731624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005211467,"about_ca_system_score_gemma":0.00004962594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001349846,"about_ca_topic_score_gemma":0.000004546539,"domain_scores_codex":[0.9986867,0.00001675984,0.0001824683,0.000410979,0.000350201,0.0003528978],"domain_scores_gemma":[0.9989962,0.0001404351,0.00005741918,0.0005855024,0.00008373149,0.0001366863],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002772514,0.0000555437,0.000308744,0.00001356256,0.00004311261,6.841507e-7,0.0006014275,0.7079242,0.0000495343,0.2656686,0.01516386,0.01014302],"study_design_scores_gemma":[0.0005084597,0.0002160959,0.000391867,0.00002179034,0.00001874401,0.000008380868,0.00005065793,0.9281462,0.000162678,0.0003511583,0.06988348,0.0002404545],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0003738822,0.00002255641,0.9611648,0.001060429,0.00006772053,0.0004175068,7.143108e-7,0.0001518791,0.03674053],"genre_scores_gemma":[0.3440697,8.743858e-7,0.6525288,0.0007025991,0.0000321463,0.00005443121,0.000001279916,0.000009688673,0.002600482],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3436958,"threshold_uncertainty_score":0.4291532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0136587460076659,"score_gpt":0.2431900778426254,"score_spread":0.2295313318349596,"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."}}