{"id":"W2033750982","doi":"10.1109/ldav.2013.6675175","title":"Visualization of residents in long-term care centres through mobile natural user interfaces (NUI)","year":2013,"lang":"en","type":"article","venue":"","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario College of Art and Design","funders":"","keywords":"Computer science; Workflow; Visualization; Visual analytics; Human–computer interaction; Analytics; Set (abstract data type); Interactive visual analysis; Data visualization; Data science; Natural (archaeology); Mobile device; Multimedia; World Wide Web; Artificial intelligence; Database","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":[0.001067972,0.0006900576,0.0003142078,0.0009351407,0.0003189751,0.001151061,0.0005781474,0.0005070145,0.007221316],"category_scores_gemma":[0.003217287,0.0002059836,0.0004371491,0.0004748713,0.0002670624,0.0008467513,0.001641273,0.0004519413,0.0006652609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002139271,"about_ca_system_score_gemma":0.0003127532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00134571,"about_ca_topic_score_gemma":0.002615894,"domain_scores_codex":[0.9994813,0.000216557,0.00003453673,0.00008272424,0.0001403816,0.0000445801],"domain_scores_gemma":[0.9987456,0.0006996115,0.0001044674,0.0001193482,0.0002193983,0.0001116563],"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":[0.002131181,0.00043121,0.03250368,0.003428645,0.0001845824,0.003360463,0.03609484,0.01072476,0.1492203,0.007266982,0.07543574,0.6792176],"study_design_scores_gemma":[0.000493649,0.00272405,0.2200204,0.002309301,0.0003913554,0.006009444,0.02378698,0.2398554,0.0796291,0.01723294,0.406752,0.0007952956],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5345601,0.002073486,0.3962933,0.002838908,0.0004722814,0.001541754,0.007894441,0.02021067,0.03411491],"genre_scores_gemma":[0.7282903,0.0008248021,0.2623481,0.0003914492,0.000138898,0.000739222,0.001501989,0.0005307888,0.00523451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007221316,"threshold_uncertainty_score":0.0241577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01337506871298479,"score_gpt":0.3216195869598408,"score_spread":0.3082445182468561,"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."}}