{"id":"W4396233376","doi":"10.1016/j.jece.2024.112228","title":"Design of porous spherical biomaterials from carboxymethyl chitosan for removal of fluoxetine in aqueous medium","year":2024,"lang":"en","type":"article","venue":"Journal of environmental chemical engineering","topic":"Hydrogels: synthesis, properties, applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Jewish General Hospital; Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Adsorption; Aqueous solution; Chemistry; Self-healing hydrogels; Chemical engineering; Freundlich equation; Diffusion; Gibbs free energy; Langmuir; Chromatography; Langmuir adsorption model; Swelling; Polymer; Desorption; Nuclear chemistry; Swelling capacity; Polymer chemistry; Organic chemistry; Thermodynamics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001631367,0.000129731,0.0002844358,0.00004456423,0.00000551724,0.000005817461,0.0001699663,0.0001302018,0.00002090184],"category_scores_gemma":[0.0000973818,0.0001166542,0.0001066804,0.00004975635,0.00005669785,0.00000613886,0.00005642573,0.00006706065,5.222101e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003704365,"about_ca_system_score_gemma":0.00002962838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008491707,"about_ca_topic_score_gemma":1.007252e-7,"domain_scores_codex":[0.9989919,0.00001875551,0.0005526596,0.0001563657,0.0001409324,0.0001393965],"domain_scores_gemma":[0.9996203,0.00005803501,0.0001210783,0.0001310188,0.000005421642,0.0000642024],"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":[0.0001172162,0.00008372407,0.00001764255,0.00005257617,0.00008456901,0.00001493852,0.00003958903,0.002867982,0.9952964,0.000001336804,0.00001043001,0.001413653],"study_design_scores_gemma":[0.0002960111,0.0001321802,0.00008988648,0.00007532346,0.00004062153,0.0001011682,0.00001568492,0.002675529,0.9959556,0.00001379427,0.0004977775,0.0001064266],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9771463,0.004188251,0.01831393,0.00004593937,0.00009590777,0.000133532,0.00006537205,0.000004621951,0.000006090177],"genre_scores_gemma":[0.9647246,0.000160376,0.03482282,0.000006537346,0.0002156867,0.00001187566,0.00002244448,0.00003234572,0.000003296348],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01650889,"threshold_uncertainty_score":0.4757019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008889090356270337,"score_gpt":0.2066389853693124,"score_spread":0.1977498950130421,"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."}}