{"id":"W3080811502","doi":"10.1017/s1368980020002748","title":"Nutritional breakfast quality and cardiometabolic risk factors: Health Survey of São Paulo, a population-based study","year":2020,"lang":"en","type":"article","venue":"Public Health Nutrition","topic":"Dietary Effects on Health","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Fundação de Amparo à Pesquisa do Estado de São Paulo; Secretaria Municipal da Saúde Cicade de São Paulo","keywords":"Medicine; Overweight; Demography; Logistic regression; Obesity; Population; Cross-sectional study; Environmental health; Gerontology; Internal medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008889756,0.0003505923,0.0003223468,0.00121331,0.0004075422,0.0004115479,0.0004104539,0.0003521296,0.0006074402],"category_scores_gemma":[0.001901648,0.0005347912,0.0005189486,0.001768078,0.0002503571,0.0003831002,0.0005375309,0.0003615008,0.0001572363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006845441,"about_ca_system_score_gemma":0.0008176698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07921065,"about_ca_topic_score_gemma":0.09643354,"domain_scores_codex":[0.9995803,0.0001145049,0.00005525525,0.0001080672,0.00009702677,0.00004479045],"domain_scores_gemma":[0.9991913,0.00009418418,0.0003747458,0.00007172696,0.0001465807,0.0001214341],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003426109,0.00002942369,0.9976175,0.00006060875,0.0001126478,0.00002761107,0.0003004842,0.00003056246,0.0004095709,0.00002251129,0.0002043407,0.001150381],"study_design_scores_gemma":[0.000005231541,0.00003633558,0.9994301,0.00001331439,0.00002719217,0.00004732423,0.0001578628,0.00004841928,0.00002176058,0.000008343834,0.000201468,0.000002568873],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924613,0.0007479636,0.0003387356,0.0001182499,0.000008580433,0.0001297914,0.0053497,0.00001300453,0.0008327033],"genre_scores_gemma":[0.9962101,0.0004524458,0.0005370931,0.00005133569,0.000005898868,0.00009829956,0.002451732,0.000003774296,0.0001892588],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07921065,"threshold_uncertainty_score":0.1574991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1453554228502508,"score_gpt":0.39536276825767,"score_spread":0.2500073454074192,"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."}}