{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006241904,0.0003174046,0.0009148248,0.0001206239,0.0006681208,0.00001288031,0.0002612966,0.0003812387,0.000118646],"category_scores_gemma":[0.0007525464,0.0002651867,0.0001931709,0.0004091289,0.00008284514,0.00007971854,0.0002487644,0.001071672,0.0004449318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002291666,"about_ca_system_score_gemma":0.0008893665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001130618,"about_ca_topic_score_gemma":0.00006695294,"domain_scores_codex":[0.9949743,0.0007445945,0.001643364,0.0009217723,0.0003843015,0.001331707],"domain_scores_gemma":[0.9960055,0.0008854104,0.0004682049,0.001036046,0.0004824747,0.001122356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000081332,0.000708243,0.4264545,0.001008492,0.00008745114,0.000003584478,0.002028337,3.742615e-7,0.0003318537,0.0002425289,0.02954215,0.5395112],"study_design_scores_gemma":[0.00399925,0.0006480905,0.341562,0.0002123527,0.00007294314,0.000001061264,0.004417424,0.0001764896,0.0003728966,0.0002644162,0.6478561,0.0004169263],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9424549,0.0008836114,0.001310596,0.007479055,0.002614269,0.0200497,0.0002319168,0.0004576412,0.02451828],"genre_scores_gemma":[0.9235232,0.0001391643,0.01342326,0.03503941,0.001142171,0.02353946,0.0005483797,0.0001206463,0.002524322],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.618314,"threshold_uncertainty_score":0.99998,"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."}}