{"id":"W2113683086","doi":"10.3109/1354750x.2011.604133","title":"Blood lead levels and cumulative blood lead index (CBLI) as predictors of late neurodevelopment in lead poisoned children","year":2011,"lang":"en","type":"article","venue":"Biomarkers","topic":"Heavy Metal Exposure and Toxicity","field":"Environmental Science","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; McMaster University","funders":"Agency for Toxic Substances and Disease Registry; National Institute of Environmental Health Sciences; Georgia Clinical and Translational Science Alliance; McMaster University; U.S. Environmental Protection Agency","keywords":"Lead (geology); Lead exposure; Blood lead level; Medicine; Lead poisoning; Pediatrics; Internal medicine; Psychiatry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004827255,0.0002686493,0.0003236549,0.0001313134,0.00007491295,0.00001395711,0.0002610956,0.0001557098,0.0003432831],"category_scores_gemma":[0.0001006172,0.0002435451,0.00007052458,0.0004489558,0.000407456,0.0002887342,0.0002434881,0.0001612031,0.00007511894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004024776,"about_ca_system_score_gemma":0.00003755867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003013062,"about_ca_topic_score_gemma":0.0004896328,"domain_scores_codex":[0.9979954,0.0001586143,0.0004890981,0.0005291775,0.0004049795,0.0004227101],"domain_scores_gemma":[0.9993441,0.00005365818,0.0001701371,0.0002715215,0.00001060963,0.0001500082],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001357343,0.0003590827,0.9612561,0.00001124104,0.0001789939,0.00002509842,0.001678512,0.000005788725,0.03306977,0.000009728028,0.00006079388,0.003209087],"study_design_scores_gemma":[0.001278917,0.0003000604,0.9329171,0.00002810855,0.00005634269,0.00001625393,0.00005788424,0.00006980004,0.06484117,0.0001382675,0.00004276804,0.0002533855],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992411,0.00007928548,0.00001969562,0.00005858771,0.00009777573,0.0004162201,0.00002406662,0.0000379541,0.006855417],"genre_scores_gemma":[0.9986687,0.0000292209,0.000697455,0.000108231,0.00001307623,0.00001232756,0.000005987786,0.00002313623,0.0004418915],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03177141,"threshold_uncertainty_score":0.993148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02412919157727477,"score_gpt":0.2292937943338796,"score_spread":0.2051646027566048,"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."}}