{"id":"W4320168193","doi":"10.15620/cdc:123891","title":"Trends in blood lead, cadmium, and mercury: United States, 1999–2000 through 2017–2018 and Canada, 2007–2009 through 2016–2017","year":2023,"lang":"en","type":"report","venue":"","topic":"Heavy Metal Exposure and Toxicity","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada","funders":"","keywords":"Mercury (programming language); Cadmium; Lead (geology); Environmental science; Environmental chemistry; Chemistry; Metallurgy; Materials science; Biology; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004269309,0.0005260477,0.0004147101,0.00337167,0.00085998,0.001099252,0.0009424943,0.0003164746,0.002496899],"category_scores_gemma":[0.001375023,0.0002932722,0.000795766,0.008323356,0.0002559508,0.0005782078,0.0007304664,0.0008254754,0.0007057945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01398393,"about_ca_system_score_gemma":0.03208201,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.988031,"about_ca_topic_score_gemma":0.992101,"domain_scores_codex":[0.9992074,0.00002154981,0.00006681079,0.00009319286,0.0004378171,0.000173122],"domain_scores_gemma":[0.9974517,0.00004788619,0.0002473023,0.00002109943,0.00203563,0.0001963259],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002343106,0.00006349715,0.8555729,0.0006684201,0.0004734803,0.0001415806,0.0005714621,0.0007804021,0.0005286892,0.0007271293,0.1123771,0.02786103],"study_design_scores_gemma":[0.00001509379,0.00003011807,0.9463621,0.0002199984,0.0002260993,0.0001423298,0.001166443,0.0005370842,0.0005421013,0.00008433106,0.05064812,0.00002615341],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.2704498,0.006828115,0.0009144166,0.002090822,0.0002402402,0.0001096318,0.6974302,0.0004886599,0.02144818],"genre_scores_gemma":[0.492175,0.01998204,0.002618982,0.001384166,0.0001243435,0.0002307665,0.4515147,0.0001288602,0.03184106],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01398393,"threshold_uncertainty_score":0.1014611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05573195106194754,"score_gpt":0.3016479780033605,"score_spread":0.245916026941413,"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."}}