{"id":"W2464703456","doi":"10.14206/canad.j.clin.nutr.2016.02.08","title":"Type 2 Diabetes and Nutrition: A Concise Update","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Clinical Nutrition","topic":"Diet and metabolism studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Type 2 diabetes; Diabetes mellitus; Medicine; Computer science; Endocrinology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003888865,0.00007837125,0.0004465407,0.0001322161,0.00005324587,0.00001562518,0.00004617615,0.00009496495,0.0001313799],"category_scores_gemma":[0.001145752,0.00005061542,0.0001298814,0.00009720679,0.0002357325,0.0001304189,0.000005836821,0.0001475052,0.00001975595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001770714,"about_ca_system_score_gemma":0.0003141394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000015052,"about_ca_topic_score_gemma":0.00017988,"domain_scores_codex":[0.9989886,0.00005278255,0.0005623461,0.00009928111,0.0001096793,0.0001872743],"domain_scores_gemma":[0.9984361,0.0001971189,0.0001668903,0.00008381693,0.0003488965,0.0007671621],"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":[0.001799165,0.0008102928,0.3235379,0.0006392408,0.0005832927,0.0008190839,0.000171583,1.736283e-8,0.004078869,0.003013773,0.3576163,0.3069305],"study_design_scores_gemma":[0.01041267,0.001435124,0.1406491,0.001747624,0.0002849335,0.00007494339,0.0001081758,0.000001027533,0.0004573186,0.004477897,0.8402174,0.0001338048],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9610973,0.01318957,0.00001440013,0.02360367,0.001202125,0.0001580153,0.00002099876,0.000005975403,0.0007079678],"genre_scores_gemma":[0.9834916,0.0127032,0.0006686798,0.001375663,0.001652282,0.000003170638,0.000002999544,0.000008963002,0.00009341125],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4826011,"threshold_uncertainty_score":0.2064037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04626338741386619,"score_gpt":0.3405181084201072,"score_spread":0.294254721006241,"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."}}