{"id":"W4285401861","doi":"10.1016/j.envpol.2022.119770","title":"Intelligent modelling for the elimination of lanthanides (La3+, Ce3+, Nd3+ and Eu3+) from aqueous solution by magnetic CoFe2O4 and CoFe2O4-GO spinel ferrite nanocomposites","year":2022,"lang":"en","type":"article","venue":"Environmental Pollution","topic":"Adsorption and biosorption for pollutant removal","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre Technologique des Résidus Industriels; York University","funders":"","keywords":"Adsorption; Lanthanide; Desorption; Spinel; Aqueous solution; Extraction (chemistry); Zeta potential; Ferrite (magnet); Materials science; Chemistry; Inorganic chemistry; Analytical Chemistry (journal); Ion; Nanoparticle; Chromatography; Physical chemistry; Nanotechnology; Composite material; Metallurgy; 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":[0.00016537,0.0004359723,0.0003920539,0.0002520567,0.0002351607,0.0006740633,0.0004261488,0.0006198437,0.001082142],"category_scores_gemma":[0.0004152396,0.0001888034,0.0005678994,0.0001575582,0.0002119484,0.000309608,0.0002203335,0.0002849463,0.0001326027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004945686,"about_ca_system_score_gemma":0.0004550985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01856497,"about_ca_topic_score_gemma":0.01117404,"domain_scores_codex":[0.9999498,0.00001125702,0.000003257195,0.00001263784,0.00001101086,0.00001207361],"domain_scores_gemma":[0.999867,0.00007598363,0.00001414895,0.000005764089,0.000031267,0.000005917756],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005130457,0.00003046951,0.0006228143,0.00002526816,0.00001743504,0.00002103478,0.00002025283,0.9911047,0.00380277,0.0003433566,0.00005798758,0.003902587],"study_design_scores_gemma":[0.000001793784,0.000009330134,0.00008411428,5.119173e-7,0.000002511651,0.000001267169,0.000003336981,0.9991297,0.0006628043,0.00005313522,0.00005030363,0.000001113558],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8136242,0.0002636084,0.1778963,0.0002263425,0.00004741674,0.00004494296,0.0001912441,0.0004789341,0.007226929],"genre_scores_gemma":[0.9922192,0.00005881103,0.005471424,0.00001067775,0.000003581486,0.00003433487,0.00007168262,0.00001595107,0.002114296],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01856497,"threshold_uncertainty_score":0.03691381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01046050979434943,"score_gpt":0.1956999516959321,"score_spread":0.1852394419015826,"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."}}