{"id":"W2951231541","doi":"10.1089/dia.2019.0058","title":"A Digital-First Model of Diabetes Care","year":2019,"lang":"en","type":"article","venue":"Diabetes Technology & Therapeutics","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto; University Health Network","funders":"Roche Diabetes Care; University Health Network","keywords":"Sophistication; Medicine; Population; Internet privacy; Health care; Public relations; Nursing; Computer science; Economic growth; Political science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.008905507,0.0007389495,0.0004606775,0.002102078,0.00517484,0.02230078,0.002776509,0.005332115,0.014658],"category_scores_gemma":[0.009763096,0.0004398998,0.001014926,0.001390695,0.02093574,0.02017597,0.01352349,0.01214324,0.005520653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.011583,"about_ca_system_score_gemma":0.01192908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00558367,"about_ca_topic_score_gemma":0.005128529,"domain_scores_codex":[0.9900337,0.004511787,0.000445884,0.00121786,0.00281233,0.0009784418],"domain_scores_gemma":[0.9920144,0.001806869,0.0004853225,0.001046331,0.001307455,0.003339574],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005314934,0.0001864511,0.0009745187,0.0002352033,0.00001984925,0.000147928,0.005746358,0.0004146544,0.0003224549,0.9129734,0.04099044,0.03793564],"study_design_scores_gemma":[0.00006369218,0.0002226148,0.0007460648,0.0006626898,0.0000228494,0.0006063874,0.005732554,0.0009064575,0.0003392195,0.3073916,0.6832263,0.00007962708],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.009775891,0.00741397,0.06550228,0.4794792,0.00620698,0.0003557679,0.000251596,0.000484907,0.4305292],"genre_scores_gemma":[0.5264869,0.0223807,0.1048012,0.1759741,0.006991633,0.00119391,0.0005752304,0.0004675779,0.1611286],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02230078,"threshold_uncertainty_score":0.08404094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02848312943666274,"score_gpt":0.3465041970398206,"score_spread":0.3180210676031578,"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."}}