{"id":"W2959812924","doi":"10.2337/cd19-0025","title":"The Diabetes Code: Prevent and Reverse Type 2 Diabetes Naturally","year":2019,"lang":"en","type":"article","venue":"Clinical Diabetes","topic":"Diet and metabolism studies","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Type 2 diabetes; Medicine; Diabetes mellitus; Type 1 diabetes; Family medicine; Endocrinology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001175245,0.0007638137,0.0007314149,0.0008210619,0.001296037,0.004508504,0.0007030747,0.003018242,0.141119],"category_scores_gemma":[0.00496608,0.0004199967,0.000478125,0.000937919,0.0009813341,0.002807917,0.001354117,0.005726111,0.1071043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001438778,"about_ca_system_score_gemma":0.005475526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0131297,"about_ca_topic_score_gemma":0.03003904,"domain_scores_codex":[0.9986247,0.0001657338,0.00007509399,0.00009140519,0.000882476,0.000160533],"domain_scores_gemma":[0.9965736,0.0006321408,0.0001896731,0.0001580778,0.001323073,0.00112343],"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":[0.00001007048,0.00001627053,0.00004095141,0.00005808823,9.684488e-7,0.00001460695,0.00002243483,0.000005805021,0.00005049094,0.001659504,0.9704331,0.02768774],"study_design_scores_gemma":[0.000009911994,0.000007503239,0.000222824,0.0001164497,0.000001256783,0.00005678948,0.00002642435,0.000006462388,0.00002015891,0.0003168765,0.9992115,0.000003715981],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007667235,0.06531581,0.002148282,0.1210789,0.1480407,0.0003388239,0.001204459,0.001593278,0.659513],"genre_scores_gemma":[0.003433332,0.04260086,0.0026694,0.06690102,0.01733341,0.0002079459,0.0009680373,0.0005646199,0.8653214],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.141119,"threshold_uncertainty_score":0.47209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02482255961819237,"score_gpt":0.3298892976395617,"score_spread":0.3050667380213694,"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."}}