{"id":"W4249315366","doi":"10.2139/ssrn.3977363","title":"Modeling the Performance of a Metal-Organic Framework (Mil-101) for the Adsorption of Toluene in an Industrial Fluidized Bed Adsorber and Comparison to Other Adsorbent Materials","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Metal-Organic Frameworks: Synthesis and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Adsorption; Toluene; Metal-organic framework; Fluidized bed; Chemical engineering; Materials science; Fluidized bed combustion; Waste management; Environmental science; Chemistry; Organic chemistry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001996539,0.000516445,0.0004433032,0.0002901935,0.0004434889,0.0005776365,0.000550714,0.001124123,0.0011271],"category_scores_gemma":[0.0004650408,0.0002376849,0.000530325,0.0002919752,0.0002076268,0.0004339213,0.0001634812,0.0003151649,0.0001545257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001117927,"about_ca_system_score_gemma":0.0008621608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03520436,"about_ca_topic_score_gemma":0.02222209,"domain_scores_codex":[0.999923,0.00001133406,0.000002914002,0.00001396922,0.00002026546,0.00002852972],"domain_scores_gemma":[0.9998042,0.0001313735,0.0000181289,0.00000780764,0.0000274412,0.00001110149],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001231133,0.0001061985,0.002371817,0.00008533733,0.00002101333,0.00008678492,0.00002357746,0.9826972,0.01154832,0.0005116527,0.0001221747,0.002302813],"study_design_scores_gemma":[0.00000669532,0.00007671717,0.0007933291,0.000003025704,0.00001045343,0.00001115261,0.00001413828,0.993951,0.004965076,0.00007333548,0.00008935347,0.000005773758],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931514,0.0002098917,0.002980358,0.00008784838,0.000008397261,0.0000167524,0.0002165085,0.00005405755,0.003274731],"genre_scores_gemma":[0.9978974,0.0001084276,0.001122294,0.000008867845,0.000002059834,0.0000112489,0.00008979246,0.000006337013,0.0007536019],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03520436,"threshold_uncertainty_score":0.06999886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02853260156221502,"score_gpt":0.2757183778065879,"score_spread":0.2471857762443729,"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."}}