{"id":"W2587117224","doi":"10.1161/jaha.116.004445","title":"Cardiovascular Diseases and Risk‐Factor Burden in Urban and Rural Communities in High‐, Middle‐, and Low‐Income Regions of China: A Large Community‐Based Epidemiological Study","year":2017,"lang":"en","type":"article","venue":"Journal of the American Heart Association","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":113,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"China; Epidemiology; Environmental health; Risk factor; Rural community; Medicine; Geography; Economic growth; Socioeconomics; Economics; Pathology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.001216859,0.0005241927,0.000478783,0.001414799,0.00125634,0.0007264346,0.0006547044,0.0006815815,0.0007964183],"category_scores_gemma":[0.001185383,0.0006445113,0.0006535801,0.001695211,0.0006305631,0.0007549943,0.0008378832,0.0005761143,0.0001472517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001257421,"about_ca_system_score_gemma":0.001365279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05006621,"about_ca_topic_score_gemma":0.07053441,"domain_scores_codex":[0.9992224,0.0001810234,0.00009345591,0.0002155903,0.000151404,0.0001360816],"domain_scores_gemma":[0.9989288,0.0001041531,0.0002476466,0.0001270313,0.000180781,0.0004114954],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004150693,0.00005336431,0.9988783,0.00001128353,0.00006451721,0.00005530635,0.0001908574,0.00002378751,0.0001285873,0.00001193511,0.00006073479,0.0004797936],"study_design_scores_gemma":[0.00001120474,0.00003473483,0.9993557,0.000004462748,0.00002361931,0.00005354263,0.0002476443,0.0001676556,0.0000223067,0.00001131069,0.00006300957,0.000004625766],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994512,0.00009690106,0.00006055916,0.00003400944,0.000002864673,0.00002572404,0.0002087788,0.00000202988,0.0001178011],"genre_scores_gemma":[0.9994978,0.00005043074,0.00007427585,0.00003388932,0.000005619427,0.00002343745,0.0002439584,8.014806e-7,0.00006976793],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05006621,"threshold_uncertainty_score":0.09954959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04358491910777729,"score_gpt":0.3394834698124522,"score_spread":0.2958985507046749,"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."}}