{"id":"W3217436935","doi":"","title":"Using Tele-homecare to Improve Chronic Disease Monitoring","year":2013,"lang":"en","type":"article","venue":"Sante Publique","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Telecare; Medicine; Nursing; Knowledge management; Health care; Telehealth; Telemedicine; Adaptation (eye); Medical emergency; Process management; Business; Computer science; Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001450014,0.0001610089,0.0002226695,0.0002240774,0.00009504028,0.0000488717,0.00008852191,0.00005040783,0.0005010497],"category_scores_gemma":[0.00018929,0.0001387455,0.00005862808,0.0003215981,0.00002099823,0.0003398973,0.0000610997,0.0001909051,0.00009842197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000396135,"about_ca_system_score_gemma":0.0006287821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001325171,"about_ca_topic_score_gemma":0.00002348352,"domain_scores_codex":[0.998557,0.00002910831,0.0003355751,0.0003002973,0.0002804143,0.0004975682],"domain_scores_gemma":[0.9985635,0.00003176315,0.00008072899,0.0003292233,0.0002619702,0.000732768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001913223,0.0001749515,0.5834526,0.001164609,0.0001101337,0.00009856488,0.0008775866,0.00001801967,0.1048642,0.0004585009,0.01650469,0.2920848],"study_design_scores_gemma":[0.002992166,0.001008737,0.9359436,0.0004479267,0.0001283408,0.00003844074,0.001166436,0.001266368,0.0165307,0.0003193611,0.03974548,0.0004124588],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9854954,0.0004482338,0.001966136,0.009290736,0.0006116733,0.001575406,0.0000204587,0.0001522576,0.0004396791],"genre_scores_gemma":[0.9925866,0.00002786771,0.002641035,0.002561203,0.001586058,0.0002187912,0.00005316223,0.00003825421,0.0002870084],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.352491,"threshold_uncertainty_score":0.5657879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03955903666139896,"score_gpt":0.3688826999881505,"score_spread":0.3293236633267516,"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."}}