{"id":"W2326980860","doi":"10.1097/md.0000000000002223","title":"Blood Lead and Other Metal Biomarkers as Risk Factors for Cardiovascular Disease Mortality","year":2016,"lang":"en","type":"article","venue":"Medicine","topic":"Heavy Metal Exposure and Toxicity","field":"Environmental Science","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Air (Canada)","funders":"Centers for Disease Control and Prevention; U.S. Environmental Protection Agency","keywords":"Medicine; Hematocrit; National Health and Nutrition Examination Survey; Hemoglobin; Internal medicine; Hazard ratio; Confidence interval; Anemia; Proportional hazards model; Relative risk; Physiology; Environmental health; 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":[0.001857026,0.0005379574,0.0005283257,0.001901374,0.0001815287,0.0008032393,0.0003521046,0.0004929148,0.0009257871],"category_scores_gemma":[0.003635161,0.0002584259,0.00108667,0.002548401,0.000236343,0.0004642245,0.0004432748,0.0006424142,0.000166433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003333544,"about_ca_system_score_gemma":0.0005218618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005507378,"about_ca_topic_score_gemma":0.00790132,"domain_scores_codex":[0.9984249,0.0008603918,0.0001007515,0.0002081566,0.0003051362,0.0001007175],"domain_scores_gemma":[0.9983529,0.0005617084,0.0006161419,0.00008921787,0.000212244,0.0001678777],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00122685,0.00009104644,0.9804639,0.0001774784,0.001108441,0.0001162308,0.00009948748,0.0007969297,0.0006252701,0.0003385661,0.000732322,0.01422345],"study_design_scores_gemma":[0.00004233338,0.0002930001,0.9934719,0.00005295818,0.0004990865,0.0002003663,0.00007734088,0.002559728,0.0002966993,0.0006355914,0.001852291,0.00001874061],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9196823,0.06686995,0.003536674,0.0009042326,0.0003166247,0.00008032373,0.00273572,0.000103715,0.005770406],"genre_scores_gemma":[0.9888482,0.006498995,0.002072042,0.0001564612,0.0002008261,0.00004641883,0.0006345622,0.00001312252,0.001529314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005507378,"threshold_uncertainty_score":0.01095062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02742362265925827,"score_gpt":0.2620535926447498,"score_spread":0.2346299699854915,"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."}}