{"id":"W3135526039","doi":"10.1016/j.yrtph.2021.104913","title":"Derivation of Biomonitoring Equivalents for aluminium for the interpretation of population-level biomonitoring data","year":2021,"lang":"en","type":"article","venue":"Regulatory Toxicology and Pharmacology","topic":"Aluminum toxicity and tolerance in plants and animals","field":"Agricultural and Biological Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada","funders":"Health Canada","keywords":"Biomonitoring; Population; Reference dose; Environmental health; Risk assessment; Toxicology; Context (archaeology); Urine; Tolerable daily intake; Medicine; Biology; Environmental chemistry; Chemistry; Body weight; Internal medicine","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":[0.003043011,0.0007367675,0.0007194685,0.001542932,0.0002662826,0.001346103,0.001129526,0.001026911,0.002098946],"category_scores_gemma":[0.006197837,0.0004201911,0.001367898,0.001375528,0.000268966,0.0005758884,0.0007490134,0.0008865327,0.0015104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001260187,"about_ca_system_score_gemma":0.001401823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01086406,"about_ca_topic_score_gemma":0.0100623,"domain_scores_codex":[0.997719,0.0008891308,0.0002064762,0.000416816,0.0006977077,0.00007085919],"domain_scores_gemma":[0.9986112,0.0005244797,0.0002552381,0.0001404155,0.0004440733,0.00002455444],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001089197,0.0006009821,0.08680153,0.003220709,0.00179326,0.002284243,0.001006316,0.3610544,0.1765393,0.03874889,0.01398365,0.3128776],"study_design_scores_gemma":[0.0001916121,0.002105577,0.07507862,0.0006452855,0.001311841,0.003337342,0.000633527,0.5620501,0.1181357,0.05450374,0.1817349,0.0002717362],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1342244,0.002583632,0.8272593,0.0005416202,0.0001534172,0.001018893,0.01447358,0.00103472,0.01871039],"genre_scores_gemma":[0.6568202,0.00372981,0.3130919,0.0008854333,0.00005672066,0.00156961,0.009942452,0.0003915368,0.01351231],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01086406,"threshold_uncertainty_score":0.02160162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1193227239826897,"score_gpt":0.3535303628783847,"score_spread":0.234207638895695,"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."}}