{"id":"W2093740386","doi":"10.1038/jes.2012.129","title":"The impact of drinking water, indoor dust and paint on blood lead levels of children aged 1–5 years in Montréal (Québec, Canada)","year":2013,"lang":"en","type":"article","venue":"Journal of Exposure Science & Environmental Epidemiology","topic":"Heavy Metal Exposure and Toxicity","field":"Environmental Science","cited_by":102,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; Health Canada; Institut National de Santé Publique du Québec","funders":"Simon Fraser University; Health Canada; Canadian Water Network; Institut National de Santé Publique du Québec","keywords":"Lead exposure; Percentile; Tap water; Blood lead level; Lead poisoning; Environmental health; Odds ratio; Medicine; Logistic regression; Confidence interval; Lead (geology); Demography; Environmental science; Environmental engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004379191,0.0001875589,0.0005586514,0.00009107046,0.0001638701,0.00001043963,0.0005777925,0.00009268896,0.0002633632],"category_scores_gemma":[0.0006486688,0.0001052211,0.0001397523,0.0001486761,0.001840855,0.0003065217,0.0002591892,0.0004171661,0.000007844636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004667335,"about_ca_system_score_gemma":0.0001430824,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2961788,"about_ca_topic_score_gemma":0.0681815,"domain_scores_codex":[0.9970817,0.0004813199,0.001086447,0.00027882,0.0005227629,0.000548927],"domain_scores_gemma":[0.9982833,0.0005881137,0.0006288672,0.0002726224,0.000007490245,0.0002196255],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003153065,0.0001128839,0.7696666,0.000001046635,0.0000252465,0.000008869239,0.0002508834,0.002231836,0.2208037,0.00000597783,0.0001089718,0.006752478],"study_design_scores_gemma":[0.000518613,0.001070439,0.9787077,0.00001719776,0.00001272451,0.0001001235,0.0001303265,0.00007091065,0.01900015,0.0002442966,0.00002094048,0.0001065394],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987651,0.0003832962,0.00001186723,0.0004753259,0.00007666065,0.0001964499,0.000007324547,0.000001612894,0.00008238458],"genre_scores_gemma":[0.9994112,0.0001519763,0.0002085322,0.0001661647,0.00002814652,0.000002577988,5.415336e-7,0.00000892707,0.00002193269],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2279973,"threshold_uncertainty_score":0.9488218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01314430753514331,"score_gpt":0.2383714104850332,"score_spread":0.2252271029498899,"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."}}