{"id":"W4383907956","doi":"10.1002/app.54411","title":"Preparation of metal–organic framework material: Experiment and simulation analysis on removing organic dyes from wastewater","year":2023,"lang":"en","type":"article","venue":"Journal of Applied Polymer Science","topic":"Metal-Organic Frameworks: Synthesis and Applications","field":"Chemistry","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"Adsorption; Thermogravimetric analysis; Freundlich equation; Wastewater; Methyl orange; Materials science; Methylene blue; Nuclear chemistry; Fourier transform infrared spectroscopy; Diffractometer; Chemical engineering; Scanning electron microscope; Chemistry; Organic chemistry; Waste management; Composite material","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":[0.0001731549,0.0003355044,0.000437879,0.0002382237,0.0003795989,0.0002518088,0.0004797655,0.0006195038,0.001473435],"category_scores_gemma":[0.000246495,0.0001944887,0.000479144,0.0003023086,0.0001489773,0.0003372359,0.0001729945,0.0002435076,0.0001073045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000438329,"about_ca_system_score_gemma":0.0003521249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00598884,"about_ca_topic_score_gemma":0.003586676,"domain_scores_codex":[0.9999392,0.000006668793,0.000002683205,0.00001184722,0.00001870934,0.00002082807],"domain_scores_gemma":[0.9999319,0.00002856057,0.000008022583,0.000005385568,0.0000197128,0.000006506999],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003873765,0.0004565275,0.005492121,0.0007033325,0.00007052739,0.000522267,0.0001096421,0.7930714,0.1797284,0.002575077,0.0008758884,0.0160074],"study_design_scores_gemma":[0.00005401161,0.0002219368,0.001712831,0.000008468946,0.00002552308,0.00003476224,0.00004758023,0.9528313,0.04396404,0.0003106209,0.0007676015,0.00002128878],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886556,0.0003305048,0.007016302,0.00009236221,0.00003164323,0.00004100593,0.0002865141,0.000104755,0.003441395],"genre_scores_gemma":[0.9953446,0.00015472,0.003778328,0.00001083045,0.000003396993,0.00003463971,0.0001091622,0.000008438219,0.0005559142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00598884,"threshold_uncertainty_score":0.01190794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01463003738304952,"score_gpt":0.2893436918989389,"score_spread":0.2747136545158894,"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."}}