{"id":"W4378746044","doi":"10.2196/44647","title":"Prediction of Multimorbidity in Brazil: Latest Fifth of a Century Population Study","year":2023,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Chronic Disease Management Strategies","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Science Foundation of Shandong Province; National Natural Science Foundation of China","keywords":"Medicine; Logistic regression; Multimorbidity; Demography; Environmental health; Odds; Cross-sectional study; Odds ratio; Population; Descriptive statistics; Public health; National Health Interview Survey; Health care","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":[0.002228204,0.0003529117,0.0004935864,0.001487107,0.0004181466,0.0007245319,0.0004935401,0.000374358,0.0005240081],"category_scores_gemma":[0.007437755,0.0003363711,0.001207327,0.001686101,0.0002268002,0.000511775,0.0009364893,0.0005932437,0.0001049551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009707641,"about_ca_system_score_gemma":0.001433891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05522711,"about_ca_topic_score_gemma":0.05912491,"domain_scores_codex":[0.9992619,0.0001975793,0.0001324417,0.0001508919,0.0001731311,0.00008404875],"domain_scores_gemma":[0.9977785,0.0003638401,0.0009270523,0.0002135102,0.0004834966,0.0002335741],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001011151,0.00001487219,0.9951802,0.00003880873,0.00006205037,0.00004253802,0.0004555369,0.00003512131,0.00007964774,0.00009073903,0.0002658175,0.003724463],"study_design_scores_gemma":[0.00000325685,0.00002442682,0.9975923,0.00008555158,0.00005586003,0.0001783864,0.0004770388,0.0004491282,0.00005075357,0.0001183586,0.0009585047,0.00000641298],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9873824,0.003043492,0.001169089,0.001075807,0.00004477522,0.0001189887,0.004481414,0.00002775616,0.002656381],"genre_scores_gemma":[0.9960743,0.001217097,0.001012209,0.00009506174,0.0000182103,0.00006963567,0.001340497,0.000006272376,0.0001666779],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05522711,"threshold_uncertainty_score":0.1098113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0823079766941885,"score_gpt":0.3738598697302548,"score_spread":0.2915518930360663,"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."}}