{"id":"W2167446099","doi":"10.1109/ccst.2009.5335525","title":"Home system and personal health information management","year":2009,"lang":"en","type":"article","venue":"","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Transport Canada","funders":"","keywords":"Computer science; Personally identifiable information; Personal information management; Information system; Management information systems; Computer security; Engineering","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":[0.0004859063,0.0002056347,0.0001909204,0.0009030518,0.0005776979,0.002107174,0.0003752169,0.0008116529,0.04036455],"category_scores_gemma":[0.001336319,0.00006348277,0.0002008486,0.001263438,0.0005548762,0.001120954,0.0007293226,0.0004435524,0.005882315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001241792,"about_ca_system_score_gemma":0.0009329782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006070003,"about_ca_topic_score_gemma":0.004409747,"domain_scores_codex":[0.9996268,0.00009293051,0.0000230312,0.00006193572,0.0001352349,0.00006014114],"domain_scores_gemma":[0.9995072,0.0001386753,0.00007257186,0.0000606493,0.0001375376,0.00008339621],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001499036,0.000179986,0.01503637,0.0004291105,0.00004148951,0.0006889536,0.001159056,0.001322185,0.001094637,0.1772733,0.1865218,0.6161032],"study_design_scores_gemma":[0.00001981216,0.0001026605,0.03359403,0.0002625026,0.00003587841,0.001234887,0.0009501447,0.002736212,0.0009298418,0.0403146,0.9197872,0.00003236982],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03752347,0.03100019,0.02213642,0.02211915,0.00213875,0.0002213695,0.003053991,0.001232805,0.8805739],"genre_scores_gemma":[0.6437437,0.02137525,0.01030423,0.006110002,0.002229075,0.0001567786,0.003045273,0.00009843834,0.3129373],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04036455,"threshold_uncertainty_score":0.1350328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009233407374098482,"score_gpt":0.2620225789165637,"score_spread":0.2527891715424652,"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."}}