{"id":"W3197771389","doi":"10.2196/23646","title":"Telemedicine via Continuous Remote Care: A Proactive, Patient-Centered Approach to Improve Clinical Outcomes","year":2021,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Telemedicine; Health care; Context (archaeology); Medicine; Telehealth; Reimbursement; Medical emergency; Ambulatory care; Nursing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.005402396,0.0004144824,0.0003093171,0.0009424785,0.0005631206,0.003200684,0.001157854,0.001150668,0.005681528],"category_scores_gemma":[0.009237546,0.0001515253,0.0004918716,0.0007070636,0.0008854121,0.002203261,0.003231125,0.002321242,0.00105308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005493226,"about_ca_system_score_gemma":0.001685093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005691965,"about_ca_topic_score_gemma":0.001137639,"domain_scores_codex":[0.9967744,0.001979775,0.0001552693,0.0002959722,0.0006283343,0.0001662099],"domain_scores_gemma":[0.9932285,0.003625196,0.0009931616,0.0005960629,0.0005010882,0.001056054],"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":[0.000310739,0.001150576,0.01076563,0.001524441,0.0001865853,0.0002571402,0.002150312,0.001005502,0.004859905,0.009964976,0.03237596,0.9354483],"study_design_scores_gemma":[0.002610328,0.01292228,0.1429089,0.0108586,0.001520694,0.007054029,0.01062337,0.02676284,0.02771311,0.1230299,0.6333711,0.0006250193],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1641892,0.04538218,0.3879725,0.1855407,0.004561307,0.00206782,0.001261723,0.007887842,0.2011368],"genre_scores_gemma":[0.8163922,0.01639975,0.1301859,0.02051694,0.005828827,0.0008807303,0.0004453426,0.0002698492,0.009080549],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005681528,"threshold_uncertainty_score":0.02857095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04183828304009694,"score_gpt":0.4209413019332187,"score_spread":0.3791030188931218,"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."}}