{"id":"W2905473017","doi":"10.1002/etc.4328","title":"Effects of chemical speciation on the bioaccessibility of zinc in spiked and smelter-affected soils","year":2018,"lang":"en","type":"article","venue":"Environmental Toxicology and Chemistry","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Regional Municipality of Waterloo; University of Waterloo; University of Saskatchewan","funders":"National Research Council Canada; Western Economic Diversification Canada; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; University of Saskatchewan","keywords":"Genetic algorithm; Chemistry; Environmental chemistry; Zinc; Metal; Soil water; Smelting; XANES; Pellets; Materials science; Soil science; Geology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0004029039,0.0003044803,0.0003473826,0.0004620767,0.0002126812,0.0005161372,0.0002850767,0.0003993733,0.0007661076],"category_scores_gemma":[0.0007194229,0.0002194776,0.0002933972,0.0003911908,0.0003011522,0.0002089964,0.0002804034,0.0002528081,0.0001405022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003692644,"about_ca_system_score_gemma":0.0002110782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003737034,"about_ca_topic_score_gemma":0.004647889,"domain_scores_codex":[0.999505,0.00009860776,0.000048554,0.0001254145,0.0001761797,0.00004609262],"domain_scores_gemma":[0.9995994,0.0001207505,0.00008610265,0.00002113774,0.00013976,0.00003278552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005600416,0.00003236753,0.008017935,0.00009331743,0.00004139455,0.00008455053,0.000070973,0.0002787836,0.9883971,0.00002409187,0.00002440942,0.002375163],"study_design_scores_gemma":[0.00002679356,0.0008646736,0.05251198,0.00002055454,0.00006254882,0.0001724306,0.000358568,0.003070501,0.9417834,0.00009583784,0.001013466,0.0000191798],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978895,0.0002350926,0.0009782762,0.00002053031,0.000006762364,0.00002193352,0.0004022717,0.00002470936,0.0004209573],"genre_scores_gemma":[0.9974971,0.0002658612,0.001206945,0.00002922832,0.000002513369,0.00001720027,0.0002146222,0.00001234257,0.0007540899],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003737034,"threshold_uncertainty_score":0.007430553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005091492174529373,"score_gpt":0.2154845040558202,"score_spread":0.2103930118812908,"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."}}