{"id":"W3021527075","doi":"10.2196/19581","title":"The Challenges of COVID-19 for People Living With Diabetes: Considerations for Digital Health","year":2020,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto; University Health Network","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Digital health; Diabetes mellitus; Medicine; Internet privacy; Virology; Computer science; Political science; Health care; Disease; Infectious disease (medical specialty); Pathology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.01589974,0.0007618875,0.001068096,0.001350887,0.005246444,0.01266142,0.003558371,0.02711237,0.01277777],"category_scores_gemma":[0.07580204,0.0004025676,0.0022859,0.001126699,0.00929263,0.01869713,0.005987756,0.02767046,0.004629206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004517319,"about_ca_system_score_gemma":0.01342135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008687378,"about_ca_topic_score_gemma":0.01716767,"domain_scores_codex":[0.9832445,0.009893593,0.001443571,0.0009920789,0.003411526,0.001014603],"domain_scores_gemma":[0.9177226,0.0616167,0.002130707,0.001693265,0.01073564,0.00610104],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004701161,0.00004152941,0.0003427683,0.001302526,0.0000233323,0.0004871642,0.003957529,0.0001069155,0.0001615033,0.02887969,0.8728169,0.09183319],"study_design_scores_gemma":[0.00001621829,0.00004175556,0.0002593721,0.002410437,0.00002319722,0.0005673984,0.00469547,0.0001251237,0.000085907,0.01057092,0.9811544,0.00004985828],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0002436027,0.01653324,0.0006313353,0.96222,0.01609483,0.00001981077,0.00003223469,0.00004138357,0.004183595],"genre_scores_gemma":[0.01023785,0.04954419,0.002246547,0.8841701,0.04431367,0.0001231091,0.00005793387,0.0001009896,0.009205625],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02711237,"threshold_uncertainty_score":0.08408689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08457244039870673,"score_gpt":0.4084872350272463,"score_spread":0.3239147946285396,"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."}}