{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007462613,0.0001403099,0.000249839,0.00002147066,0.0000859105,0.000003872859,0.0000962927,0.00004069431,0.0008743218],"category_scores_gemma":[0.0005703786,0.00007205546,0.000181313,0.00008338781,0.0004389655,0.00008671892,0.00004892667,0.00003827035,0.00005476302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002180747,"about_ca_system_score_gemma":0.000006744317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003480843,"about_ca_topic_score_gemma":0.00007571558,"domain_scores_codex":[0.9988321,0.00008927372,0.0001655514,0.0003385114,0.0003546599,0.0002198745],"domain_scores_gemma":[0.9992023,0.0001288355,0.00004433718,0.000351732,0.000004695383,0.0002681224],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005508202,0.00008517208,0.9625347,0.00001988866,0.001283727,0.00001760756,0.0002182146,0.000004258618,0.01231213,0.00006374426,0.0005684492,0.022837],"study_design_scores_gemma":[0.003032685,0.0004248389,0.8684527,0.00004359556,0.002570971,0.000006105304,0.0001108509,0.00005456741,0.01053063,0.002379668,0.1120473,0.000346133],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952469,0.0007316891,0.002023923,0.0003720951,0.000122285,0.0002868263,0.00005832392,0.0000294827,0.001128506],"genre_scores_gemma":[0.9991568,0.00008045711,0.00008635307,0.0001658797,0.00009639527,0.00001812309,0.0000024827,0.00001360692,0.0003799253],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1114788,"threshold_uncertainty_score":0.957321,"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."}}