{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005392746,0.00008686596,0.0007850575,0.00008475362,0.001070422,0.00006995786,0.0002395041,0.0000484509,0.000002017026],"category_scores_gemma":[0.00401626,0.00006125199,0.0001382077,0.0001035266,0.0004060463,0.0001991238,0.0001295793,0.0004960496,6.357322e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002124014,"about_ca_system_score_gemma":0.00009194964,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2015334,"about_ca_topic_score_gemma":0.02810594,"domain_scores_codex":[0.9933824,0.005628505,0.0003982613,0.00004713641,0.0003058988,0.0002378117],"domain_scores_gemma":[0.9966718,0.002139437,0.0007626898,0.0002501631,0.00007331356,0.0001026183],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003244945,0.00009890916,0.9847279,0.00002419903,0.00006449879,0.000001037,0.01470621,0.00002070419,4.474192e-7,0.0000603328,0.00003163248,0.0002316695],"study_design_scores_gemma":[0.0007863653,0.0001408592,0.9581262,0.0001591013,0.00005712564,6.124566e-7,0.04005785,0.00005366871,1.616171e-7,0.0003834672,0.0001758208,0.00005881287],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951309,0.0007314802,0.000001936593,0.00377641,0.00008175938,0.0002144092,0.00004817092,0.000003518826,0.00001141619],"genre_scores_gemma":[0.9982776,0.001396587,0.00002839111,0.0002007105,0.0000783927,0.000003514479,4.907383e-7,0.000004540469,0.000009775073],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1734274,"threshold_uncertainty_score":0.9896286,"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."}}