{"id":"W1783247227","doi":"10.1080/16070658.2009.11734214","title":"Development of a Malian food exchange system based on local foods and dishes for the assessment of nutrient and food intake in type 2 diabetic subjects","year":2009,"lang":"en","type":"article","venue":"South African Journal of Clinical Nutrition","topic":"Diet and metabolism studies","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Medicine; Nutrient; Food science; Sugar; Added sugar; Starch; Food group; Food composition data; Diabetes mellitus; Obesity; Type 2 diabetes; Animal science; Environmental health; Biology; 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":[0.001385778,0.0001151787,0.0007213332,0.0001483559,0.00003872979,0.000007434416,0.00005859725,0.00006872545,0.000001232733],"category_scores_gemma":[0.0003175287,0.00007301766,0.0001252133,0.0001814125,0.0001382544,0.00003015222,0.0000155542,0.000183536,4.907092e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003568129,"about_ca_system_score_gemma":0.0001396621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.001434e-7,"about_ca_topic_score_gemma":0.00000624421,"domain_scores_codex":[0.9982811,0.0001007448,0.001038641,0.0001319561,0.0002976354,0.0001499099],"domain_scores_gemma":[0.9985021,0.00050248,0.0005301937,0.00009966076,0.0002420169,0.0001235091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.03525911,0.02056109,0.4266631,0.01894489,0.002530145,0.0000583167,0.0287469,0.00004908039,0.001237981,0.01114472,0.0008046898,0.454],"study_design_scores_gemma":[0.01680645,0.02397064,0.9349251,0.00358758,0.0005128402,0.000007085508,0.01699644,0.0005420982,0.0005858332,0.0004958347,0.001418611,0.0001514966],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934523,0.001837465,0.002747615,0.001021969,0.0002069819,0.0006109714,0.00001823899,0.000003981016,0.0001004665],"genre_scores_gemma":[0.9936939,0.0002192302,0.005834482,0.00008200567,0.0001433424,0.00001574355,0.000002282589,0.000007392286,0.000001593687],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.508262,"threshold_uncertainty_score":0.2977574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06163000057854817,"score_gpt":0.3449721117159861,"score_spread":0.283342111137438,"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."}}