{"id":"W1850275175","doi":"10.1039/c5em00517e","title":"Physiologically based modeling of lead kinetics: a pilot study using data from a Canadian population","year":2015,"lang":"en","type":"article","venue":"Environmental Science Processes & Impacts","topic":"Heavy Metal Exposure and Toxicity","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada; Vancouver Biotech (Canada); McMaster University; Sackville Memorial Hospital; Mount Allison University","funders":"Health Canada; McMaster University","keywords":"Lead (geology); Kinetics; Population; Environmental science; Biology; Environmental health; Medicine; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002089979,0.0007552764,0.0005478463,0.0006597589,0.001410658,0.0007917605,0.001491125,0.0006936385,0.00134856],"category_scores_gemma":[0.004740954,0.0003018104,0.0008787983,0.001498184,0.000496767,0.0002507396,0.0004429387,0.0005796843,0.0003026333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.011401,"about_ca_system_score_gemma":0.009790785,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9681301,"about_ca_topic_score_gemma":0.9328602,"domain_scores_codex":[0.9993771,0.0001589187,0.00002539823,0.0001374168,0.0002015217,0.00009972376],"domain_scores_gemma":[0.997992,0.0007372671,0.00009652973,0.0001534712,0.0009299419,0.0000907312],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001314569,0.001156727,0.7138874,0.0002485695,0.0003546074,0.001155903,0.003514776,0.201888,0.005729225,0.002130232,0.003855602,0.06476431],"study_design_scores_gemma":[0.0001849253,0.0007674567,0.5727524,0.00003669336,0.0002498575,0.0004665784,0.002059116,0.4161724,0.001535941,0.000581558,0.005030074,0.0001630764],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993365,0.000067352,0.003518769,0.0001245567,0.000004989893,0.0001545341,0.001417789,0.00006326356,0.001283803],"genre_scores_gemma":[0.9896741,0.0002008024,0.006524748,0.00006052577,0.000006039324,0.0001168151,0.00232686,0.00002155683,0.001068634],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03186995,"threshold_uncertainty_score":0.0827204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1403044246687858,"score_gpt":0.3123808116125246,"score_spread":0.1720763869437388,"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."}}