{"id":"W2012854248","doi":"10.1145/1971706.1971718","title":"Pervasive healthcare","year":2011,"lang":"en","type":"article","venue":"ACM SIGHIT Record","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Ubiquitous computing; Mainstream; Health care; Computer science; Data science; Human–computer interaction; Political science","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":[0.001337284,0.0006538822,0.0004705101,0.001578358,0.001188062,0.004481993,0.001901316,0.002678227,0.1607585],"category_scores_gemma":[0.004638512,0.000320983,0.0005061438,0.001618074,0.0007197236,0.003432575,0.004963104,0.002007732,0.1291939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001026957,"about_ca_system_score_gemma":0.002060687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00114973,"about_ca_topic_score_gemma":0.00195903,"domain_scores_codex":[0.9980676,0.0003805465,0.0001401052,0.0003292993,0.0008530603,0.000229358],"domain_scores_gemma":[0.998095,0.000304874,0.00008763212,0.0004322732,0.0006564028,0.0004238144],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005488598,0.00005186925,0.0007977277,0.0005167178,0.00002123991,0.0003270582,0.0002974313,0.0001958952,0.001058009,0.06430385,0.5566065,0.3757688],"study_design_scores_gemma":[0.000006355828,0.00001465568,0.0002759297,0.0001633998,0.000004214999,0.0005027682,0.0001000612,0.0001018052,0.0002023488,0.007214949,0.991406,0.000007416167],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.001747165,0.02082695,0.03542855,0.03219917,0.00826869,0.0002890251,0.002537854,0.003562993,0.8951396],"genre_scores_gemma":[0.06494488,0.04543459,0.05042301,0.03674637,0.007410225,0.0004766411,0.01023454,0.001034893,0.7832949],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1607585,"threshold_uncertainty_score":0.5377908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07798395653026369,"score_gpt":0.3150488239542606,"score_spread":0.2370648674239969,"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."}}