{"id":"W3163488403","doi":"10.1016/j.colsurfa.2021.126840","title":"A ‘three in one’ complexing agent enables copper desorption from polluted soil, its removal from groundwater and its detection","year":2021,"lang":"en","type":"article","venue":"Colloids and Surfaces A Physicochemical and Engineering Aspects","topic":"Analytical chemistry methods development","field":"Chemistry","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lakehead University; University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Copper; Chemistry; Groundwater; Desorption; Fourier transform infrared spectroscopy; Groundwater remediation; Pulmonary surfactant; Sorbent; Environmental remediation; Adsorption; Environmental chemistry; Chemical engineering; Contamination; Geology; Organic chemistry","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":[0.0002759902,0.0005882764,0.0004449449,0.0002532283,0.0003106431,0.0006499447,0.0006701837,0.0008399732,0.002440251],"category_scores_gemma":[0.000573988,0.000418346,0.0003346389,0.0002493024,0.0003428849,0.0006527826,0.0005418096,0.0009416792,0.001225815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003666275,"about_ca_system_score_gemma":0.0003076108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008017882,"about_ca_topic_score_gemma":0.001383658,"domain_scores_codex":[0.9995719,0.00005636652,0.00003693823,0.0001543791,0.00009959843,0.00008079084],"domain_scores_gemma":[0.99971,0.00005454291,0.00006219007,0.00007371749,0.00005188687,0.00004763456],"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":[0.0001502316,0.00005584126,0.00007656522,0.00008913627,0.00001259625,0.00007403432,0.00004921239,0.0001192126,0.9942041,0.0004572337,0.0003290397,0.004382784],"study_design_scores_gemma":[0.00001461135,0.0001617164,0.0001885143,0.000003795241,0.00001300997,0.00009984125,0.00001163276,0.0007660495,0.9933932,0.00003759881,0.005298086,0.00001194095],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9492696,0.001141733,0.03966399,0.0004767983,0.0002597524,0.0002130325,0.0003489362,0.001293689,0.007332511],"genre_scores_gemma":[0.9614776,0.0005851262,0.02361896,0.0002573965,0.00005497866,0.0001458129,0.0003635824,0.0002125216,0.01328403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002440251,"threshold_uncertainty_score":0.008163452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02467105790632546,"score_gpt":0.219734331021095,"score_spread":0.1950632731147695,"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."}}