{"id":"W3000568255","doi":"10.1016/j.chemosphere.2020.125921","title":"The role of magnetic MOFs nanoparticles in enhanced iron coagulation of aquatic dissolved organic matter","year":2020,"lang":"en","type":"article","venue":"Chemosphere","topic":"Environmental remediation with nanomaterials","field":"Engineering","cited_by":53,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Science Foundation of Hunan Province; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Chemistry; Zeta potential; Dissolved organic carbon; Flocculation; Nanoparticle; Environmental chemistry; Coagulation; Chemical engineering; Magnetic nanoparticles; Adsorption; Water treatment; Organic chemistry; Environmental engineering","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":[0.0001097833,0.0001424645,0.00008535269,0.0001056292,0.0001726501,0.0002127877,0.0001266696,0.0002915907,0.0005571855],"category_scores_gemma":[0.0001503991,0.00006334887,0.0001173773,0.00002982853,0.0001542666,0.0001379815,0.0001032444,0.0001627952,0.0001234996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002889131,"about_ca_system_score_gemma":0.0001921586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002140205,"about_ca_topic_score_gemma":0.002878162,"domain_scores_codex":[0.9999515,0.000006643909,0.000002171108,0.000009913802,0.00001348362,0.00001634329],"domain_scores_gemma":[0.9999552,0.00001501162,0.000005390349,0.000002735528,0.00001540093,0.000006348846],"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":[0.0001768384,0.0000184376,0.0002564019,0.00004679602,0.000006775284,0.00004032585,0.0000215134,0.000149678,0.9955041,0.0002047947,0.00008261395,0.003491762],"study_design_scores_gemma":[0.000004916933,0.00007107189,0.0009271769,0.000002187242,0.00000614732,0.00002399156,0.00001575469,0.001524672,0.9965369,0.0000357281,0.0008496779,0.000001839332],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962474,0.0005345447,0.001228878,0.00009835837,0.00002211294,0.000009159125,0.00003153962,0.00002428007,0.001803806],"genre_scores_gemma":[0.9973416,0.0001530969,0.0006649777,0.00001916646,0.000004247524,0.000002849923,0.0000163897,0.000004359146,0.001793233],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002140205,"threshold_uncertainty_score":0.004255533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003857966026138456,"score_gpt":0.1703738455434856,"score_spread":0.1665158795173472,"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."}}