{"id":"W2547000875","doi":"10.1371/journal.pone.0165647","title":"Urban and Rural Differences of Acute Cardiovascular Disease Events: A Study from the Population-Based Real-Time Surveillance System in Zhejiang, China in 2012","year":2016,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Cardiovascular Health and Risk Factors","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Public Health Ontario","funders":"Centers for Disease Control and Prevention; Government of the United Kingdom","keywords":"Medicine; Case fatality rate; Stroke (engine); Incidence (geometry); Rural area; Environmental health; Population; Demography; China; Disease surveillance; Mortality rate; Disease; Internal medicine; Geography; Pathology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005694661,0.0001535014,0.0007767993,0.00009591965,0.00003910508,0.000005362707,0.00009005983,0.0000537083,0.00001639517],"category_scores_gemma":[0.0001084327,0.00008226917,0.0001992744,0.0001881811,0.00003393123,0.0000623206,0.00002876169,0.00009791015,0.00000640494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001192489,"about_ca_system_score_gemma":0.00008165101,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01283844,"about_ca_topic_score_gemma":0.0004175161,"domain_scores_codex":[0.9980947,0.0004382201,0.000366351,0.0002604583,0.0006125659,0.0002277362],"domain_scores_gemma":[0.9988912,0.0001875163,0.00008330605,0.0006273921,0.00004228426,0.0001682588],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003520649,0.0005781864,0.9967806,0.0001573799,0.001335226,0.00003153961,0.0002399849,0.000003011767,0.0001442889,0.000001859404,0.000007450057,0.0003683798],"study_design_scores_gemma":[0.003601713,0.00009569203,0.9939937,0.001147313,0.000720116,5.738859e-7,0.0001130218,0.0002008986,0.00001700214,0.00000600224,0.000002506488,0.0001014449],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950121,0.003175818,0.000006196954,0.0002376302,0.0000363316,0.001285015,0.0002076812,0.00002615216,0.00001309671],"genre_scores_gemma":[0.9993067,0.0003962009,0.00001996759,0.000009476839,0.00009612823,0.00006833848,0.00004968176,0.00001685512,0.00003662473],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01242092,"threshold_uncertainty_score":0.9937351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01529368342074711,"score_gpt":0.2258469328493458,"score_spread":0.2105532494285987,"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."}}