{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001884878,0.0002084655,0.0001674229,0.0007054765,0.0006914443,0.0009961326,0.0004954457,0.0004784405,0.002593145],"category_scores_gemma":[0.005377149,0.00007168936,0.0002818841,0.0005574551,0.0004771529,0.0006337983,0.0007832096,0.000468529,0.0001725405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002402434,"about_ca_system_score_gemma":0.005399336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06895977,"about_ca_topic_score_gemma":0.09587044,"domain_scores_codex":[0.9983073,0.0008876838,0.00006575642,0.000111069,0.0004017687,0.0002263238],"domain_scores_gemma":[0.9979614,0.0009953355,0.0003675016,0.00008840063,0.0003497713,0.0002376501],"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":[0.00009540201,0.001187678,0.1962289,0.001196875,0.00007388312,0.0003242153,0.008805595,0.0004657753,0.002141868,0.001056355,0.004890377,0.783533],"study_design_scores_gemma":[0.0001355035,0.001447265,0.9131364,0.002784137,0.0001944343,0.001233565,0.01182725,0.00199107,0.002688774,0.0011393,0.06336185,0.00006042522],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8793749,0.01349063,0.01246057,0.01783977,0.000227472,0.001283082,0.0007831386,0.0003503847,0.07419007],"genre_scores_gemma":[0.98634,0.004180941,0.006673232,0.0009867299,0.00009805007,0.0001504218,0.0001332875,0.000006574454,0.001430682],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06895977,"threshold_uncertainty_score":0.1371168,"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."}}