{"id":"W2113096211","doi":"10.1016/j.cviu.2009.06.008","title":"Automated handwashing assistance for persons with dementia using video and a partially observable Markov decision process","year":2010,"lang":"en","type":"article","venue":"Computer Vision and Image Understanding","topic":"Psychiatry, Mental Health, Neuroscience","field":"Computer Science","cited_by":224,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; University of Waterloo","funders":"","keywords":"Partially observable Markov decision process; Computer science; Heuristic; Markov decision process; Artificial intelligence; Process (computing); Machine learning; Hidden Markov model; Bayesian probability; Key (lock); Computer vision; Markov process; Markov model; Markov chain; Statistics; Mathematics; Computer security","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":[0.0008121062,0.0004828667,0.0007287074,0.0005185471,0.0003683306,0.0006550908,0.0005217882,0.001028006,0.0009849455],"category_scores_gemma":[0.00255215,0.000395753,0.0006156241,0.0003022504,0.0003453844,0.0007282551,0.0004961324,0.0006411957,0.0001086933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007887261,"about_ca_system_score_gemma":0.001236003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02864407,"about_ca_topic_score_gemma":0.02018218,"domain_scores_codex":[0.9997004,0.00008909334,0.00002097661,0.0000803474,0.00005263585,0.00005649422],"domain_scores_gemma":[0.9981434,0.001465909,0.0001488821,0.00002682897,0.0001518074,0.00006310605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001490117,0.0005147938,0.01186594,0.0001375574,0.0001549565,0.0003631116,0.0001948516,0.8980224,0.006156893,0.003498874,0.0006593336,0.07694115],"study_design_scores_gemma":[0.00001214693,0.00005489212,0.001112438,0.000003060019,0.00001254258,0.00001279692,0.00001001443,0.9975568,0.0003658756,0.0008225809,0.00003044108,0.000006477796],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6125327,0.0003589091,0.3847071,0.0005232179,0.00005943543,0.00008773756,0.0001959792,0.0002781384,0.001256763],"genre_scores_gemma":[0.987008,0.00006923881,0.01217682,0.00002998806,0.00001393189,0.00002922892,0.00007474324,0.000004672227,0.0005934323],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02864407,"threshold_uncertainty_score":0.05695474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03804501443123539,"score_gpt":0.3180536484682332,"score_spread":0.2800086340369978,"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."}}