{"id":"W4255430430","doi":"10.1016/j.toxlet.2019.05.020","title":"WITHDRAWN: Corrigendum to “Biomarkers of cadmium, lead and mercury exposure in relation with early biomarkers of renal dysfunction and diabetes: Results from a pilot study among aging Canadian” [Toxicol. Lett. 312 (2019) 148–156]","year":2019,"lang":"en","type":"article","venue":"Toxicology Letters","topic":"Heavy Metal Exposure and Toxicity","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"The Quebec Population Health Research Network; McMaster University; Université de Montréal; Université Laval; Institut National de Santé Publique du Québec","funders":"","keywords":"Medicine; Gerontology","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":[0.002302137,0.001506866,0.002593067,0.0019162,0.002742878,0.003399597,0.003038823,0.008728733,0.09897663],"category_scores_gemma":[0.01995008,0.0009826598,0.001876402,0.001676533,0.001414686,0.001445527,0.001089711,0.00810218,0.06718288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003936452,"about_ca_system_score_gemma":0.004943009,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02827493,"about_ca_topic_score_gemma":0.03214415,"domain_scores_codex":[0.9973108,0.0002481874,0.0003777147,0.0003216774,0.001344538,0.0003971178],"domain_scores_gemma":[0.9874084,0.00288859,0.0005851494,0.0005449592,0.00741079,0.001162155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001056981,0.00001891489,0.0001281461,0.000125495,0.000029743,0.000417682,0.00001633373,0.00002491129,0.0002184112,0.0002446733,0.9940342,0.004635791],"study_design_scores_gemma":[0.0002367328,0.0001077878,0.004457593,0.0001494963,0.00008510841,0.0005529355,0.00005550911,0.0001462473,0.0008392693,0.0004632174,0.9928486,0.00005747311],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0009159286,0.005074523,0.0005049444,0.2182458,0.7358024,0.0001571474,0.009101386,0.0006780668,0.02951979],"genre_scores_gemma":[0.01599386,0.009067078,0.001122445,0.1889726,0.1993854,0.0002171736,0.007264934,0.0004735884,0.5775029],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.971725,"threshold_uncertainty_score":0.3311098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01083815039638801,"score_gpt":0.2002187404099654,"score_spread":0.1893805900135774,"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."}}