{"id":"W2995475794","doi":"10.1007/s10570-019-02944-6","title":"Environmentally friendly nanocomposites based on cellulose nanocrystals and polydopamine for rapid removal of organic dyes in aqueous solution","year":2019,"lang":"en","type":"article","venue":"Cellulose","topic":"Advanced Cellulose Research Studies","field":"Materials Science","cited_by":125,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Environmentally friendly; Adsorption; Nanocomposite; Aqueous solution; Materials science; Chemical engineering; Cellulose; Desorption; Human decontamination; Nanotechnology; Chemistry; Waste management; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006124619,0.0003166489,0.0005139998,0.0002348639,0.00009937268,0.00003418242,0.0002790875,0.0001130496,0.0005479815],"category_scores_gemma":[0.0001276055,0.0002900983,0.00009246789,0.0001912768,0.0003134165,0.0002028941,0.0002079316,0.0001371316,0.0001066646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002020098,"about_ca_system_score_gemma":0.0000709761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003166327,"about_ca_topic_score_gemma":0.00001738045,"domain_scores_codex":[0.9975637,0.0001576054,0.0005149617,0.000673586,0.0004576616,0.0006324578],"domain_scores_gemma":[0.9985374,0.0005951937,0.0002331583,0.0004588997,0.0000488737,0.0001264651],"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":[0.0004576949,0.0003091989,0.0005415433,0.0002727307,0.000009457662,0.00004438854,0.0001668253,0.0001126957,0.9954349,0.0001380271,0.0000665156,0.002446059],"study_design_scores_gemma":[0.002029715,0.001162526,0.0005906935,0.0001251604,0.0000166993,0.00001457357,0.0001264781,0.003208464,0.9901648,0.0002386113,0.00201506,0.0003072353],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919653,0.002951881,0.002317378,0.0001523192,0.0001764529,0.001306757,0.00006966966,0.00004688192,0.001013366],"genre_scores_gemma":[0.9901283,0.0001610497,0.007703305,0.00005072994,0.00004337688,0.00006118911,0.00004177801,0.0000494228,0.001760785],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005385927,"threshold_uncertainty_score":0.9999551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009345952283270897,"score_gpt":0.2372017255868808,"score_spread":0.2278557733036099,"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."}}