{"id":"W2156510440","doi":"10.1136/heart.89.7.722","title":"Carbohydrates, dietary glycaemic load and glycaemic index, and risk of acute myocardial infarction","year":2003,"lang":"en","type":"article","venue":"Heart","topic":"Food composition and properties","field":"Nursing","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Istituto di Ricerche Farmacologiche Mario Negri - IRCCS; University of Toronto; Ministero della Salute; Università degli Studi di Milano","keywords":"Medicine; Myocardial infarction; Odds ratio; Glycaemic index; Internal medicine; Body mass index; Confidence interval; Logistic regression; Population; Glycemic index; Insulin; Environmental health","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":[0.0005480322,0.0004384285,0.0002867575,0.0006856501,0.000201152,0.0005794656,0.0003131519,0.0005810698,0.001053477],"category_scores_gemma":[0.002970934,0.0002536497,0.0002483099,0.0008419452,0.0002613537,0.0002204392,0.0002658759,0.00050588,0.0001498681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002357023,"about_ca_system_score_gemma":0.0002325642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003332574,"about_ca_topic_score_gemma":0.004080405,"domain_scores_codex":[0.9997236,0.00009310185,0.00002250164,0.00005363989,0.0000573012,0.00004979516],"domain_scores_gemma":[0.9981003,0.0003677387,0.001052166,0.00006463299,0.00009436341,0.0003208162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003226766,0.00004046304,0.9986394,0.00001033118,0.00007451276,0.0000454606,0.00001354492,0.00004236209,0.0001109273,0.000007308705,0.00003633897,0.0006566526],"study_design_scores_gemma":[0.00001371218,0.00007466166,0.9995973,0.000003014937,0.00002794911,0.00008759804,0.00001113464,0.0001248708,0.00001664499,0.00001345475,0.00002847558,0.000001348447],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989439,0.0006107809,0.00004714942,0.00005195025,0.000004543508,0.000005402433,0.0001163042,0.000003350405,0.0002166203],"genre_scores_gemma":[0.99923,0.0002979635,0.0001330613,0.0000187011,0.00002129068,0.000006116543,0.0001967487,0.000001172277,0.00009482323],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003332574,"threshold_uncertainty_score":0.006626368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01099966594880259,"score_gpt":0.2344623852894628,"score_spread":0.2234627193406602,"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."}}