{"id":"W3095405115","doi":"10.1007/s10924-020-01949-8","title":"Immobilized Fe-Loaded Chitosan Film for Methyl Orange Dye Removal: Competitive Ions, Reusability, and Mechanism","year":2020,"lang":"en","type":"article","venue":"Journal of Polymers and the Environment","topic":"Adsorption and biosorption for pollutant removal","field":"Environmental Science","cited_by":94,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"Universiti Sains Malaysia","keywords":"Adsorption; Methyl orange; Materials science; Reusability; Chemical engineering; Aqueous solution; Sorbent; Desorption; Langmuir adsorption model; Chitosan; Langmuir; Kinetics; Chelation; Nuclear chemistry; Organic chemistry; Catalysis; Chemistry; Photocatalysis; Metallurgy","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":[0.0001528237,0.0003780981,0.0001922909,0.0002163628,0.0001873948,0.0001987275,0.0003914696,0.0005630036,0.0009560151],"category_scores_gemma":[0.0002855893,0.0001949144,0.0003096407,0.0001539682,0.0001449189,0.0002628681,0.0001357004,0.0003839151,0.000180258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003605643,"about_ca_system_score_gemma":0.0002431765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003341692,"about_ca_topic_score_gemma":0.00691827,"domain_scores_codex":[0.999889,0.00000901409,0.000008416034,0.00002197879,0.0000406689,0.00003086586],"domain_scores_gemma":[0.9998904,0.00002344093,0.00001930097,0.000008526092,0.00004266865,0.00001558161],"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":[0.00005488632,0.00001537546,0.00006291044,0.00003275987,0.000004926271,0.00003260254,0.000007497804,0.00004693275,0.9985887,0.00003371141,0.00003267781,0.00108705],"study_design_scores_gemma":[0.000006499053,0.00009568987,0.0006786389,0.000002411141,0.00001568619,0.00004981616,0.000007256097,0.001010412,0.9977817,0.000006979838,0.0003392688,0.000005630548],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919823,0.001321691,0.005012589,0.0001473985,0.00004910068,0.00002328381,0.0001035601,0.00007650063,0.001283652],"genre_scores_gemma":[0.9937441,0.00040408,0.003189636,0.00003732294,0.000008637967,0.000008087509,0.00008774444,0.000009586585,0.002510879],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003341692,"threshold_uncertainty_score":0.006644487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01275227920547728,"score_gpt":0.2170474602259563,"score_spread":0.204295181020479,"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."}}