{"id":"W3043094756","doi":"10.1139/cjss-2019-0165","title":"Size-resolved analysis of trace elements in the dissolved fraction (&lt;0.45 μm) of soil solutions using a novel lysimeter and asymmetrical flow field-flow fractionation coupled to ultraviolet absorbance and inductively coupled plasma mass spectrometry","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Soil Science","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Lysimeter; Chemistry; Absorbance; Environmental chemistry; Fractionation; Dissolved organic carbon; Soil water; Analytical Chemistry (journal); Inductively coupled plasma mass spectrometry; Colloid; Trace metal; Mass spectrometry; Soil science; Chromatography; Metal; Environmental science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0008048621,0.0005101759,0.0003833101,0.0007839111,0.0004110004,0.000579054,0.0005992596,0.0005209655,0.0006533649],"category_scores_gemma":[0.00057344,0.0002404587,0.0002754529,0.0004757087,0.000454246,0.0006351955,0.0005389277,0.0007255359,0.0003249698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000611765,"about_ca_system_score_gemma":0.000586057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001461673,"about_ca_topic_score_gemma":0.002431334,"domain_scores_codex":[0.9993807,0.0000585655,0.00006139696,0.0002527318,0.0002033918,0.000043219],"domain_scores_gemma":[0.9995139,0.0001164117,0.0001127476,0.00004491836,0.000164492,0.00004750106],"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":[0.00003014185,0.00001443433,0.000546381,0.00002042548,0.000005002812,0.000008124471,0.00002490606,0.00005854976,0.9967872,0.00006815424,0.00002874225,0.002407867],"study_design_scores_gemma":[0.00001779072,0.0001359297,0.007752777,0.000007825129,0.00002432893,0.0001404394,0.00005211489,0.00655482,0.9827225,0.0002069928,0.002358366,0.00002602996],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7452683,0.0006339814,0.2479197,0.0002149872,0.00007783233,0.0003968648,0.002262618,0.0009910023,0.002234631],"genre_scores_gemma":[0.5291753,0.00126967,0.4601758,0.000340292,0.00006509705,0.00111257,0.0022419,0.0002317013,0.005387769],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001461673,"threshold_uncertainty_score":0.004438698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02641838876350276,"score_gpt":0.251842080596785,"score_spread":0.2254236918332822,"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."}}