{"id":"W3094762302","doi":"10.1038/s41598-020-75924-7","title":"Reusable magnetite nanoparticles–biochar composites for the efficient removal of chromate from water","year":2020,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Adsorption and biosorption for pollutant removal","field":"Environmental Science","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Light Source (Canada); University of Regina; University of Toronto; University of Saskatchewan; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; University of Saskatchewan; Canadian Light Source","keywords":"Biochar; Adsorption; Magnetite; Aqueous solution; Hexavalent chromium; Chemistry; Iron oxide; Oxide; Chromate conversion coating; Nanoparticle; Nuclear chemistry; Chromium; Chemical engineering; Materials science; Pyrolysis; Metallurgy; Nanotechnology; 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":[0.0001362733,0.0003757566,0.0002154,0.0002847174,0.0001434497,0.0002979596,0.0002344986,0.0004196325,0.0004848489],"category_scores_gemma":[0.0001253717,0.0002031479,0.0002992638,0.000154621,0.0001602769,0.0002014445,0.0002123023,0.0003234155,0.0002382676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000305542,"about_ca_system_score_gemma":0.0001744733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009868949,"about_ca_topic_score_gemma":0.002872439,"domain_scores_codex":[0.9998733,0.00001206364,0.000008221826,0.00003023024,0.00004930692,0.00002678663],"domain_scores_gemma":[0.9999329,0.0000115045,0.00001819978,0.00000619377,0.00001919938,0.00001192525],"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":[0.00001656796,0.00001091049,0.00004008753,0.00002141021,0.000003198049,0.00001486216,0.000004981184,0.00008963229,0.9988046,0.00001735836,0.00001845229,0.0009580848],"study_design_scores_gemma":[0.000004167362,0.00006556304,0.0005365114,0.000001633292,0.000006761079,0.00002321982,0.000007541521,0.001189848,0.9976922,0.000006529712,0.0004628553,0.000003217758],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878242,0.001163917,0.008839062,0.000072511,0.00004739862,0.0000455209,0.0001165141,0.0002930188,0.001597763],"genre_scores_gemma":[0.9934738,0.0002833154,0.004685148,0.00002601119,0.000005728529,0.00001499606,0.00006342134,0.00002179069,0.001425772],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009868949,"threshold_uncertainty_score":0.002216935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01368354183498412,"score_gpt":0.2103394266113608,"score_spread":0.1966558847763766,"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."}}