{"id":"W3113031889","doi":"10.1680/jenes.20.00044","title":"Removal of Orange G by the Fenton process and<i>Ficus benjamina</i>nano-zerovalent iron","year":2020,"lang":"en","type":"article","venue":"Journal of Environmental Engineering and Science","topic":"Environmental remediation with nanomaterials","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Orange (colour); Ficus; Zerovalent iron; Fourier transform infrared spectroscopy; Langmuir adsorption model; Nuclear chemistry; Biosorption; Adsorption; Scanning electron microscope; Methyl orange; Chemistry; Analytical Chemistry (journal); Materials science; Botany; Environmental chemistry; Biology; Physics; Physical chemistry; Food science; Organic chemistry; Catalysis; Optics; Composite material","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002724892,0.0001208039,0.0001674528,0.00004623367,0.00004764948,0.00002850489,0.0001893433,0.00002923238,0.00002038267],"category_scores_gemma":[0.00003258754,0.0000893467,0.00002576689,0.0001083833,0.0002131834,0.0002693922,0.00005037292,0.0001018246,0.000001403852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000571358,"about_ca_system_score_gemma":0.000006464861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.145957e-7,"about_ca_topic_score_gemma":5.284273e-8,"domain_scores_codex":[0.9990288,0.000007813126,0.0002988687,0.0001142068,0.0003922545,0.0001580448],"domain_scores_gemma":[0.9996384,0.00002914371,0.0001026286,0.0000733486,0.000003842792,0.0001525952],"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":[0.0000075249,0.00001344432,0.0004109554,0.00006201107,0.000006651467,0.00000787387,0.0005482351,0.01196815,0.9844888,0.000004171666,0.00003371724,0.002448505],"study_design_scores_gemma":[0.001177919,0.0005399515,0.03973914,0.0001325774,0.00007134562,0.0008387619,0.0007480384,0.04669096,0.905816,0.00001053461,0.003807342,0.000427391],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969975,0.002206167,0.0004097916,0.0001055351,0.0001406717,0.00007736166,0.00001382093,0.00001211315,0.0000370836],"genre_scores_gemma":[0.9985337,0.0008347336,0.0005294568,0.00003092473,0.00004656102,0.00000138296,6.17554e-7,0.00001371177,0.000008928704],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07867272,"threshold_uncertainty_score":0.3643453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00477721658958054,"score_gpt":0.1766927436512725,"score_spread":0.171915527061692,"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."}}