{"id":"W4255430430","doi":"10.1016/j.toxlet.2019.05.020","title":"WITHDRAWN: Corrigendum to “Biomarkers of cadmium, lead and mercury exposure in relation with early biomarkers of renal dysfunction and diabetes: Results from a pilot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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009265749,0.0002737849,0.0004768734,0.0003191904,0.00009220451,0.00002202232,0.0001721613,0.0001418711,0.00008073938],"category_scores_gemma":[0.00009851229,0.0002534472,0.00003002366,0.0005203998,0.0004529957,0.0003803881,0.0001013504,0.0002649764,0.00002056764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002385166,"about_ca_system_score_gemma":0.00005551333,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1067186,"about_ca_topic_score_gemma":0.1944588,"domain_scores_codex":[0.997524,0.0003709349,0.0005586509,0.0007099365,0.0003358446,0.0005006677],"domain_scores_gemma":[0.9988615,0.0001879309,0.0002837427,0.0003749642,0.00001677108,0.0002750822],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000560189,0.0001081393,0.6935366,0.000009257559,0.0001078809,0.00002155457,0.001218799,0.0002371506,0.3030594,0.000001046499,0.0004820155,0.0006579296],"study_design_scores_gemma":[0.002470874,0.003317681,0.985923,0.00007167531,0.00006743816,0.000003095936,0.0003079145,0.0001541652,0.007321562,0.000006887711,0.00008287178,0.0002728573],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969091,0.00003714004,0.00004483171,0.001178388,0.0002469441,0.00120365,0.00006031237,0.00001874553,0.0003008732],"genre_scores_gemma":[0.9988506,0.000003028533,0.000286679,0.0006751172,0.00002022612,0.00003165819,0.00001925769,0.00002523474,0.00008813897],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2957378,"threshold_uncertainty_score":0.9999918,"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."}}