{"id":"W3193334299","doi":"10.2196/27454","title":"Dietary Intake and Health Status of Elderly Patients With Type 2 Diabetes Mellitus: Cross-sectional Study Using a Mobile App in Primary Care","year":2021,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Medicine; Anthropometry; Context (archaeology); Environmental health; Type 2 Diabetes Mellitus; Diabetes mellitus; Cross-sectional study; Type 2 diabetes; Gerontology; Internal medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008530351,0.0002201773,0.0005086761,0.0007931065,0.0009814397,0.0008569563,0.0002120933,0.0007075692,0.001320195],"category_scores_gemma":[0.002208551,0.0004742775,0.00060676,0.000829758,0.0002551312,0.0005803038,0.0005227007,0.0007897504,0.0002826386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003632611,"about_ca_system_score_gemma":0.0003810163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007072323,"about_ca_topic_score_gemma":0.01042072,"domain_scores_codex":[0.999454,0.0001354424,0.00007297684,0.0001280843,0.00013445,0.0000750847],"domain_scores_gemma":[0.9987348,0.0002850309,0.0003996649,0.00008369765,0.0002690952,0.0002277329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006343381,0.0003526143,0.9968279,0.00005191799,0.00005715959,0.0001132143,0.000874269,0.00000817887,0.0002085225,0.000005616406,0.0001004004,0.001336701],"study_design_scores_gemma":[0.00001351512,0.00056901,0.9971891,0.0000212056,0.00005925715,0.0002706045,0.001509726,0.00006166947,0.00004541584,0.000007779424,0.0002474472,0.0000052769],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999229,0.0001484242,0.00004182203,0.00004037403,0.000004899673,0.00003897505,0.0001769847,0.000001660352,0.0003179655],"genre_scores_gemma":[0.9990929,0.0001720976,0.0001697433,0.0001631306,0.00001039609,0.00005494201,0.0001552744,0.000001170553,0.0001803325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007072323,"threshold_uncertainty_score":0.01406235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1100961455092716,"score_gpt":0.509123299567982,"score_spread":0.3990271540587104,"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."}}