{"id":"W4389426238","doi":"10.1016/j.apgeochem.2023.105855","title":"Using sugar maple tree rings to trace historic lead pollution in eastern Canada temperate forest","year":2023,"lang":"en","type":"article","venue":"Applied Geochemistry","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministère des Ressources naturelles et des Forêts; Environment and Climate Change Canada; Université du Québec à Chicoutimi","funders":"","keywords":"Maple; Temperate climate; TRACE (psycholinguistics); Pollution; Temperate forest; Geography; Sugar; Environmental science; Lead (geology); Tree (set theory); Forestry; Agroforestry; Environmental protection; Geology; Ecology; Chemistry; Biology; Paleontology","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":[0.0002102887,0.000220218,0.000193898,0.0008562588,0.001783453,0.0009625027,0.0005165905,0.0002254555,0.0004681],"category_scores_gemma":[0.0002577028,0.0001547628,0.00009652066,0.001011132,0.000434493,0.0002109562,0.0002427389,0.0002577283,0.0001442208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00654095,"about_ca_system_score_gemma":0.005548083,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9555901,"about_ca_topic_score_gemma":0.9899701,"domain_scores_codex":[0.9998235,0.000009142067,0.000004759625,0.00004821619,0.00005860284,0.00005573267],"domain_scores_gemma":[0.9996907,0.00001737263,0.00003096625,0.000008503943,0.0002043985,0.00004816148],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006217101,0.0001572075,0.8741124,0.00006810664,0.00009577109,0.0003550345,0.002250124,0.001133807,0.091307,0.0002576731,0.0004550377,0.02918602],"study_design_scores_gemma":[0.00001069552,0.0001022157,0.9794979,0.00001668502,0.00006267057,0.0001166092,0.002476245,0.001783189,0.01284061,0.00007215334,0.003007012,0.0000140149],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977422,0.0001431082,0.0003090549,0.00001512761,0.000002820014,0.0000187736,0.0001949274,0.000008013531,0.001565966],"genre_scores_gemma":[0.9946409,0.0002349894,0.001455139,0.00003016767,9.130478e-7,0.00001004974,0.0002024978,0.000006254563,0.003418992],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04440987,"threshold_uncertainty_score":0.08934277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01809357239556361,"score_gpt":0.2237016336177467,"score_spread":0.2056080612221831,"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."}}