{"id":"W3124637557","doi":"10.1049/pbhe017e_ch7","title":"Minimally disruptive medicine: how mHealth strategies can reduce the work of diabetes care","year":2020,"lang":"en","type":"book-chapter","venue":"Institution of Engineering and Technology eBooks","topic":"Cardiovascular Health and Risk Factors","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital","funders":"","keywords":"Diabetes mellitus; Medicine; Population; Type 2 diabetes; Blood sugar; Environmental health; Demography; Endocrinology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009251312,0.0002624282,0.0007555707,0.0003358849,0.00006511631,0.000004066367,0.0001124633,0.0004993119,0.000001903751],"category_scores_gemma":[0.0001146179,0.0001805958,0.0001292557,0.00007436984,0.0009372256,0.00001351139,0.00005133321,0.0006645297,7.144195e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006354737,"about_ca_system_score_gemma":0.00044071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001810785,"about_ca_topic_score_gemma":0.00001176711,"domain_scores_codex":[0.9990198,0.000006606217,0.0003212193,0.0002548795,0.0002086205,0.0001888957],"domain_scores_gemma":[0.9991251,0.0000467137,0.0001896734,0.0003436292,0.0001894638,0.0001053955],"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":[0.0002554841,0.00002794234,0.002272583,0.01478519,0.002985695,0.0001793098,0.005732857,0.0002855106,0.006975468,0.8373218,0.0005901685,0.128588],"study_design_scores_gemma":[0.0112129,0.009247544,0.01304239,0.04190207,0.008667739,0.0005013336,0.0217699,0.0002473509,0.03340905,0.007913847,0.8489813,0.003104569],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5969445,0.1141306,0.0006120359,0.02415277,0.002742212,0.004775031,0.0004669351,0.001464051,0.2547118],"genre_scores_gemma":[0.9981149,0.000555658,0.0001878098,0.00002888512,0.0001478,0.0000165588,0.00002533439,0.00002805032,0.000895018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8483911,"threshold_uncertainty_score":0.7364483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01356616593349468,"score_gpt":0.2372532509959338,"score_spread":0.2236870850624391,"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."}}