{"id":"W2144373618","doi":"10.4108/icst.pervasivehealth2009.6020","title":"The smart condo: visualizing independent living environments in a virtual world","year":2009,"lang":"en","type":"article","venue":"","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Advanced Education, Government of Alberta","keywords":"Computer science; Variety (cybernetics); Assisted living; Wireless sensor network; Wireless; Computer security; Telecommunications; Computer network; Human–computer interaction; Artificial intelligence; Gerontology; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003549677,0.000883202,0.0003211927,0.0009411295,0.0005500071,0.001588057,0.0007535855,0.0006587587,0.00956818],"category_scores_gemma":[0.001181033,0.0003368736,0.0004512134,0.0005435375,0.0005900197,0.001474509,0.002126648,0.0006174966,0.0007207226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002045594,"about_ca_system_score_gemma":0.0006655371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005794576,"about_ca_topic_score_gemma":0.01276504,"domain_scores_codex":[0.999843,0.00004299475,0.000004840735,0.00003113004,0.00004846405,0.00002940337],"domain_scores_gemma":[0.9996798,0.0001005518,0.00001801479,0.0000385491,0.00004693865,0.0001161685],"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":[0.002160928,0.000779338,0.01601402,0.001636459,0.0003601323,0.003101754,0.0118485,0.06059246,0.2252907,0.02161912,0.13038,0.5262166],"study_design_scores_gemma":[0.000674238,0.00132529,0.05596872,0.0008401982,0.0003292228,0.005848027,0.007168091,0.5971229,0.06003825,0.03463309,0.2352384,0.0008136052],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2844456,0.001334727,0.6594352,0.001458096,0.0004107226,0.0007685502,0.006723352,0.01669483,0.02872891],"genre_scores_gemma":[0.6221717,0.0009814576,0.3631674,0.0002862563,0.00008798266,0.0004739603,0.002962992,0.001662213,0.008205999],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00956818,"threshold_uncertainty_score":0.03200877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02040046738004776,"score_gpt":0.2619439916915932,"score_spread":0.2415435243115454,"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."}}