{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004260526,0.000099362,0.0001323233,0.0001059258,0.00002800543,0.0001758902,0.0005633798,0.00004028766,0.0002484533],"category_scores_gemma":[0.00002448081,0.00008204876,0.00002780243,0.0004163286,0.00003256133,0.001423552,0.0002703042,0.00004562095,0.0000729366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003291588,"about_ca_system_score_gemma":0.00002529232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005892092,"about_ca_topic_score_gemma":0.0003971069,"domain_scores_codex":[0.9990288,0.00005179999,0.0002912564,0.0002334212,0.0002349478,0.0001597772],"domain_scores_gemma":[0.9993632,0.00002554504,0.00009491327,0.000307419,0.00017708,0.00003182521],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001003121,0.0004195431,0.8536318,0.0004152017,0.00004978555,0.00001141957,0.01747544,0.0006948024,0.003150471,0.09427571,0.01414348,0.01572235],"study_design_scores_gemma":[0.001397446,0.0001863853,0.8180758,0.0004273634,0.00001379868,0.000004326676,0.002494965,0.08076154,0.09453965,0.0008733367,0.0006106206,0.0006147844],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7730104,0.0006560277,0.2236134,0.0001076281,0.0004078812,0.0004522738,0.000005727616,0.000137238,0.001609456],"genre_scores_gemma":[0.9969824,0.00009124549,0.001598173,0.0001978948,0.00001295385,0.000008143996,0.00005548065,0.000006477246,0.001047225],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2239721,"threshold_uncertainty_score":0.3345852,"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."}}