{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005435054,0.0001595608,0.0003952693,0.0003353193,0.0001745208,0.0001260431,0.0003950751,0.0001172961,0.001812694],"category_scores_gemma":[0.00007246841,0.0001281022,0.00009882166,0.001494897,0.0001652055,0.0001901418,0.0001120781,0.000166376,0.00001942924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005941433,"about_ca_system_score_gemma":0.00007887681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009063962,"about_ca_topic_score_gemma":0.000001116395,"domain_scores_codex":[0.9981331,0.00001715984,0.0006566187,0.00032878,0.0006489928,0.0002153775],"domain_scores_gemma":[0.9983727,0.0002981078,0.0006625857,0.0004585784,0.00008915705,0.0001189007],"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":[0.00005534483,0.00004831134,0.00006770314,0.000009164417,0.0001425418,8.060956e-7,0.001051395,0.0006507409,0.9962676,0.0005908191,0.000009149616,0.001106468],"study_design_scores_gemma":[0.0001037027,0.00002376876,0.0004775083,0.0000516255,0.0002844326,0.000001348543,0.0006195219,0.004111311,0.9930937,0.001064697,0.00004385611,0.0001245277],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976826,0.000186619,0.001424028,0.000132281,0.0001045658,0.00005614943,0.00001044652,0.00002766235,0.0003756854],"genre_scores_gemma":[0.9980109,0.00004678428,0.001656558,0.00003479645,0.0001510622,0.000005286993,0.000005802915,0.00001808288,0.00007070375],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00346057,"threshold_uncertainty_score":0.9990998,"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."}}