{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002342208,0.0001016981,0.0001450241,0.00008624348,0.0003679043,0.00001611051,0.0008563211,0.0002234163,0.0009496671],"category_scores_gemma":[0.0009389478,0.0001016981,0.00006109701,0.0002960064,0.0002712264,0.0001689195,0.0001400974,0.0002138195,0.0006633846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009172106,"about_ca_system_score_gemma":0.0001680842,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02030627,"about_ca_topic_score_gemma":0.04169188,"domain_scores_codex":[0.9988187,0.0001252789,0.0001618014,0.0002748141,0.0001936855,0.0004257415],"domain_scores_gemma":[0.9990078,0.0001147108,0.00007987442,0.0005440394,0.0001129016,0.0001407305],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004250112,0.0001355858,0.3933848,0.00002455607,0.00005058175,0.00008518149,0.1114057,3.14224e-8,0.00007462275,0.09357912,0.02459703,0.3766204],"study_design_scores_gemma":[0.0005246254,0.0003164687,0.1270747,0.00006487168,0.00002721363,0.000006523471,0.02415391,0.000001788166,0.001025173,0.1178276,0.728422,0.0005551146],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8686955,0.0002805046,0.0001074386,0.02160683,0.001436497,0.0004879002,0.000007406188,0.001102825,0.1062751],"genre_scores_gemma":[0.9897861,0.0002171835,0.006523181,0.0006922108,0.0001697738,0.00003417956,0.000001625572,0.00001579599,0.002559958],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7038251,"threshold_uncertainty_score":0.9999636,"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."}}