{"id":"W3123048950","doi":"10.1093/eurjcn/zvaa038","title":"Associating modifiable lifestyle factors with multimorbidity in community dwelling individuals from mainland China","year":2021,"lang":"en","type":"article","venue":"European Journal of Cardiovascular Nursing","topic":"Chronic Disease Management Strategies","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nipissing University","funders":"National Natural Science Foundation of China","keywords":"Medicine; Body mass index; Mainland China; Demography; Gerontology; Logistic regression; Multimorbidity; Cross-sectional study; Latent class model; Environmental health; China; Population","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":[0.0007515473,0.0002850922,0.0002721411,0.001072411,0.0006949436,0.0003874466,0.0002965633,0.0002999084,0.0009077421],"category_scores_gemma":[0.001285532,0.0002254617,0.0004753728,0.0009970241,0.0002469693,0.0002664639,0.0004997003,0.0003700786,0.00005592704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004826947,"about_ca_system_score_gemma":0.0008304854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04028466,"about_ca_topic_score_gemma":0.06290454,"domain_scores_codex":[0.9996424,0.00006166598,0.00004975613,0.00009024144,0.00007214319,0.00008375886],"domain_scores_gemma":[0.9992989,0.00009199476,0.0002446071,0.00007393736,0.00009424626,0.0001963766],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001136836,0.00001053073,0.9990807,0.000006195689,0.00003198175,0.00001740034,0.00006136277,0.00001708858,0.00008066469,0.00001025019,0.00002519551,0.0006472557],"study_design_scores_gemma":[5.750035e-7,0.000008024883,0.9998047,0.000001849127,0.000007645831,0.00001275758,0.00004656702,0.00008410675,0.00000865396,0.000008573432,0.0000156467,9.187881e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995165,0.0001328984,0.00005184043,0.00003681502,0.000003221002,0.000005700052,0.0001300618,0.000001794167,0.0001211938],"genre_scores_gemma":[0.9997274,0.00004264795,0.00004978965,0.000009487581,0.000003363721,0.000004332313,0.0001135045,4.806685e-7,0.00004893488],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04028466,"threshold_uncertainty_score":0.08010036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03794251748175457,"score_gpt":0.2773987877634148,"score_spread":0.2394562702816602,"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."}}