{"id":"W4380785761","doi":"10.1161/circ.146.suppl_1.15192","title":"Abstract 15192: Neighborhood Social Vulnerability Predicts Cardiovascular Disease Outcomes Through Pro-Inflammatory Risk Factors","year":2022,"lang":"en","type":"article","venue":"Circulation","topic":"Cardiovascular Health and Risk Factors","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Medicine; Internal medicine; Quartile; Body mass index; Hazard ratio; Myocardial infarction; Disease; Incidence (geometry); Aspirin; Proportional hazards model; Confidence interval","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":[0.0004514328,0.0003576545,0.0003251341,0.0003682654,0.0003286936,0.0006453198,0.0003206753,0.0003207463,0.009407531],"category_scores_gemma":[0.001406774,0.0001305733,0.0003218735,0.0004196671,0.0001880191,0.0002391128,0.0005026971,0.000412917,0.0007546754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001907721,"about_ca_system_score_gemma":0.0004367834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00386584,"about_ca_topic_score_gemma":0.003688841,"domain_scores_codex":[0.9997962,0.00006457656,0.00001719456,0.00004585719,0.00004356341,0.00003263175],"domain_scores_gemma":[0.9993845,0.0001218559,0.0002186642,0.00005112292,0.00008008589,0.0001437684],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003696908,0.00009838514,0.9938497,0.00005217955,0.0001630691,0.00007384472,0.00005385778,0.0001707046,0.0003382877,0.00005799904,0.0008981307,0.003874051],"study_design_scores_gemma":[0.00001529939,0.0001080354,0.9985098,0.00001888833,0.00007345022,0.0000925229,0.00006231887,0.0005490661,0.0000749274,0.0001167971,0.000375759,0.000002971329],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958865,0.0005943591,0.000251961,0.0002837893,0.00002426581,0.00001506726,0.001705489,0.00001435964,0.001224238],"genre_scores_gemma":[0.9981457,0.000181665,0.0002148603,0.00003409239,0.00003533363,0.00002311775,0.0008254125,0.000002455015,0.000537307],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009407531,"threshold_uncertainty_score":0.03147131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03122120017705669,"score_gpt":0.2817309693191897,"score_spread":0.250509769142133,"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."}}