{"id":"W2073916975","doi":"10.1016/s1499-2671(09)31020-5","title":"Carbohydrate counting and blood glucose variability … be precise!","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Diabetes","topic":"Diet and metabolism studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Glycemic; Medicine; Carbohydrate; Insulin; Diabetes mellitus; Meal; Glycemic index; Internal medicine; Endocrinology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.01227553,0.0009280735,0.001350442,0.001169515,0.0009431025,0.005436704,0.001309968,0.003457722,0.005071871],"category_scores_gemma":[0.08562052,0.0008041844,0.000854835,0.00258614,0.003035461,0.005918297,0.001320071,0.006640738,0.001996731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001136443,"about_ca_system_score_gemma":0.001828641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02941219,"about_ca_topic_score_gemma":0.02381436,"domain_scores_codex":[0.992957,0.002844938,0.0006849154,0.0008246772,0.002398695,0.0002898016],"domain_scores_gemma":[0.9629365,0.02068916,0.005279962,0.00414876,0.006180838,0.0007648292],"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":[0.003370587,0.0003166884,0.278804,0.001391259,0.002631073,0.0006348804,0.002455566,0.001409496,0.001363871,0.03877508,0.1557063,0.5131412],"study_design_scores_gemma":[0.0002428724,0.000528549,0.6004868,0.003471878,0.001468205,0.003469716,0.004233228,0.00263517,0.002123625,0.2090989,0.171736,0.0005049918],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1066578,0.4090396,0.03825175,0.3578246,0.03602474,0.00009038689,0.003481619,0.000575077,0.0480543],"genre_scores_gemma":[0.7806803,0.07677948,0.03224879,0.06613319,0.02150803,0.0001018655,0.001722976,0.0003929422,0.02043251],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02941219,"threshold_uncertainty_score":0.06492001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01049416807407447,"score_gpt":0.2230040656707186,"score_spread":0.2125098975966442,"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."}}