{"id":"W3167288869","doi":"10.1002/app.51241","title":"Preparation and application of magnetic chitosan in environmental remediation and other fields: A review","year":2021,"lang":"en","type":"review","venue":"Journal of Applied Polymer Science","topic":"Adsorption and biosorption for pollutant removal","field":"Environmental Science","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"National Natural Science Foundation of China","keywords":"Chitosan; Environmental remediation; Materials science; Magnetic nanoparticles; Nanotechnology; Biodegradation; Magnetic field; Chemical engineering; Chemistry; Organic chemistry; Nanoparticle; Contamination; Physics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005432087,0.0001530164,0.0005557718,0.0001373312,0.00004388575,0.00002092026,0.0002024836,0.00009256694,0.0001640895],"category_scores_gemma":[0.000009951192,0.0001180862,0.00007457502,0.0004637895,0.0004295598,0.0001539394,0.0001169641,0.0001753018,0.000006957375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006180431,"about_ca_system_score_gemma":0.00006080466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006936507,"about_ca_topic_score_gemma":0.000005264754,"domain_scores_codex":[0.9983872,0.00004191784,0.0007037054,0.0002640979,0.0004730446,0.0001300918],"domain_scores_gemma":[0.9989116,0.00003092437,0.0007991627,0.0001605316,0.000003379177,0.00009435851],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005852704,0.00004491412,0.00005781134,0.0006407022,0.000004057277,0.000001065471,0.0001528962,8.637858e-7,0.0047879,0.0001266499,0.00002591539,0.9941514],"study_design_scores_gemma":[0.001218346,0.0006384174,0.001466594,0.01592418,0.0008616406,0.001386393,0.0002896211,0.0004552978,0.007513701,0.0002191896,0.9688153,0.00121128],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00257375,0.995993,0.00006133231,0.00003927889,0.00004863738,0.0003463837,0.000006903419,0.000002328853,0.000928455],"genre_scores_gemma":[0.0249383,0.974537,0.0003056129,0.0001435841,0.00003355595,0.000008754922,0.000002432442,0.000007122998,0.00002363265],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9929401,"threshold_uncertainty_score":0.4815415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01084090692250954,"score_gpt":0.2790403572246075,"score_spread":0.2681994503020979,"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."}}