{"id":"W3106265964","doi":"10.1016/j.ijheh.2020.113665","title":"Long-term time trend of lead exposure in young German adults – Evaluation of more than 35 Years of data of the German Environmental Specimen Bank","year":2020,"lang":"en","type":"article","venue":"International Journal of Hygiene and Environmental Health","topic":"Heavy Metal Exposure and Toxicity","field":"Environmental Science","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Nuclear Safety Commission; Bundesministerium für Umwelt, Naturschutz und Reaktorsicherheit","keywords":"Biomonitoring; German; Environmental health; Lead exposure; Lead poisoning; Lead pollution; Medicine; Lead (geology); Environmental medicine; Toxicology; Environmental protection; Public health; Geography; Pollution; Biology; Ecology; 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":[0.0008187727,0.000130541,0.0003514185,0.0000725426,0.00002188937,0.000004329142,0.0006548411,0.00005402811,0.0004345996],"category_scores_gemma":[0.00002091942,0.0001093912,0.0001011581,0.00008523454,0.0003443238,0.0003854192,0.0004356694,0.0001631844,0.000004707066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001948376,"about_ca_system_score_gemma":0.00003837254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002048862,"about_ca_topic_score_gemma":0.0001384877,"domain_scores_codex":[0.9971716,0.0001893365,0.0009523017,0.0002194772,0.001317076,0.0001501462],"domain_scores_gemma":[0.9986281,0.0000426695,0.0009623596,0.0002611214,0.000006181616,0.00009961391],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004177678,0.0007838808,0.7660575,0.00005153737,0.0001142382,0.00001189377,0.005865094,0.0004044484,0.1508329,0.000003714488,0.00007958063,0.07537746],"study_design_scores_gemma":[0.0014453,0.0004553252,0.978117,0.0001247321,0.00003791197,0.00004292956,0.0002775876,0.001279779,0.01807401,0.00002634448,0.00003785048,0.00008117727],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998459,0.0004526003,0.00001247876,0.0003051882,0.00008693428,0.0001898854,0.0003870872,0.000001095485,0.0001056627],"genre_scores_gemma":[0.9991407,0.0004731588,0.0001547693,0.00007586506,0.00005307747,9.779674e-7,0.00007206068,0.00001090605,0.0000184436],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2120596,"threshold_uncertainty_score":0.4758561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03212179201895991,"score_gpt":0.3144783463188205,"score_spread":0.2823565542998606,"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."}}