{"id":"W2122030629","doi":"10.1007/s11892-012-0253-z","title":"Diabetes-Specific Nutrition Algorithm: A Transcultural Program to Optimize Diabetes and Prediabetes Care","year":2012,"lang":"en","type":"review","venue":"Current Diabetes Reports","topic":"Diet and metabolism studies","field":"Medicine","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"European Foundation for the Study of Diabetes; Canadian Diabetes Association; GlaxoSmithKline; Eli Lilly and Company; Bristol-Myers Squibb; European Society for Clinical Nutrition and Metabolism; Pfizer; Novo Nordisk; Sanofi; American Diabetes Association","keywords":"Prediabetes; Medicine; Psychological intervention; Medical nutrition therapy; Glycemic; Diabetes mellitus; Diabetes management; Disease; Type 2 diabetes; Intensive care medicine; Gerontology; Nursing; Internal medicine","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":[0.007666568,0.0007061586,0.0005842711,0.002640163,0.001387534,0.002950069,0.001725424,0.0008100044,0.008762469],"category_scores_gemma":[0.02652674,0.0003433571,0.001475982,0.002413486,0.0003889719,0.002543115,0.003355901,0.001833738,0.002978431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002547377,"about_ca_system_score_gemma":0.01145327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005315653,"about_ca_topic_score_gemma":0.01215718,"domain_scores_codex":[0.9961572,0.001916947,0.0006258891,0.0003960508,0.000751049,0.000152765],"domain_scores_gemma":[0.9913845,0.002288926,0.0008772367,0.0005642328,0.003951184,0.0009339125],"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":[0.0005918509,0.0008820756,0.03651782,0.002104837,0.0002436845,0.0004353297,0.00364675,0.008719331,0.001518587,0.01254269,0.1216715,0.8111256],"study_design_scores_gemma":[0.0008582528,0.001101434,0.04794745,0.006018294,0.0009561877,0.001224256,0.007109332,0.08140236,0.006636949,0.04478379,0.801635,0.000326685],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.1446124,0.003725883,0.6080653,0.04071156,0.002122219,0.03432559,0.01895059,0.01314211,0.1343444],"genre_scores_gemma":[0.06183406,0.001226227,0.9166676,0.001368471,0.00009793282,0.005783125,0.007168739,0.0003110491,0.005542627],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.008762469,"threshold_uncertainty_score":0.04054523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05203009218556508,"score_gpt":0.3395934613590624,"score_spread":0.2875633691734973,"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."}}