{"id":"W3190555834","doi":"10.1007/s11270-021-05278-x","title":"Graphene-Alginate Fluids as Unconventional Electrodes for the Electrokinetic Remediation of Cr(VI)","year":2021,"lang":"en","type":"article","venue":"Water Air & Soil Pollution","topic":"Electrokinetic Soil Remediation Techniques","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Electrokinetic phenomena; Environmental remediation; Electrode; Electrokinetic remediation; Groundwater remediation; Sorption; Aqueous solution; Chemical engineering; Chemistry; Pollutant; Materials science; Environmental chemistry; Nanotechnology; Contamination; Adsorption; Organic chemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001790514,0.0003597752,0.0001258011,0.0003051024,0.000147205,0.0004969008,0.0003045909,0.0004525541,0.0006431641],"category_scores_gemma":[0.0002857973,0.0001087976,0.0001971361,0.0001963968,0.0002013408,0.0004823846,0.0003696009,0.0003790959,0.0002303257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002256049,"about_ca_system_score_gemma":0.0001738787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007672964,"about_ca_topic_score_gemma":0.002583951,"domain_scores_codex":[0.999845,0.00003498971,0.000009047566,0.0000258416,0.00005494971,0.00003011208],"domain_scores_gemma":[0.9999138,0.00002229344,0.0000194637,0.000006927808,0.00002335287,0.00001413515],"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":[0.00007001289,0.00002216006,0.00008638803,0.00008913896,0.00000762804,0.00005890113,0.00003801162,0.0002177986,0.9923576,0.0003900327,0.0001428853,0.006519599],"study_design_scores_gemma":[0.000005084436,0.00009438633,0.00026659,0.000007285626,0.00001268069,0.00007174065,0.00002831241,0.001312131,0.995557,0.00005112328,0.00258515,0.000008505542],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9737362,0.004770199,0.01653996,0.0003847241,0.0002137938,0.00003865675,0.0001681083,0.0001963661,0.003951916],"genre_scores_gemma":[0.9871545,0.001297854,0.007649737,0.00008701144,0.00001478503,0.00001094457,0.00006107651,0.00001928427,0.003704707],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007672964,"threshold_uncertainty_score":0.002151608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005596401742689079,"score_gpt":0.2142302570328616,"score_spread":0.2086338552901725,"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."}}