{"id":"W3200355449","doi":"10.3390/nu13093244","title":"Dietary Glycaemic Index Labelling: A Global Perspective","year":2021,"lang":"en","type":"review","venue":"Nutrients","topic":"Diet and metabolism studies","field":"Medicine","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; St. Michael's Hospital; Glycemic Index Laboratories","funders":"Glycemic Index Foundation; Diabetes Canada","keywords":"Glycaemic index; Labelling; Food science; Perspective (graphical); Index (typography); Glycemic index; Chemistry; Medicine; Biochemistry; Endocrinology; Diabetes mellitus; Computer science; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.003207867,0.0008968475,0.001922192,0.004914576,0.0003251093,0.002025763,0.001304015,0.002519294,0.004237241],"category_scores_gemma":[0.004797204,0.0004608257,0.001095283,0.006493894,0.000921047,0.003282905,0.00111956,0.003332176,0.001392455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001737279,"about_ca_system_score_gemma":0.003645486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004632281,"about_ca_topic_score_gemma":0.0062306,"domain_scores_codex":[0.9990956,0.0003083764,0.0001547312,0.0001090737,0.0002664163,0.00006586647],"domain_scores_gemma":[0.9967425,0.001758148,0.0004308911,0.00006291305,0.0008930643,0.000112462],"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":[0.0001320241,0.00006532991,0.0002754443,0.06387463,0.0002733768,0.0001230619,0.000246067,0.0002906852,0.000664123,0.02005502,0.06487784,0.8491223],"study_design_scores_gemma":[0.00001847781,0.00007927832,0.001062864,0.03622953,0.0002491839,0.0003885437,0.0001994759,0.00006289587,0.0001204923,0.003837159,0.9577323,0.00001983403],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00005137718,0.9969126,0.00005926247,0.001892638,0.00025523,0.000002951788,0.00002165215,0.000003515103,0.0008007376],"genre_scores_gemma":[0.0005571409,0.9979804,0.0001280696,0.0009354998,0.0001700378,0.000005796833,0.00002484572,0.000001392434,0.0001967723],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004914576,"threshold_uncertainty_score":0.01696497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07936040099540917,"score_gpt":0.3941806818157456,"score_spread":0.3148202808203364,"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."}}