{"id":"W4414033811","doi":"10.1016/j.matchemphys.2025.131523","title":"Electrothermal regeneration of carbon-modified CuBTC for volatile organic compound adsorption","year":2025,"lang":"en","type":"article","venue":"Materials Chemistry and Physics","topic":"Ionic liquids properties and applications","field":"Chemical Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates","keywords":"Adsorption; Regeneration (biology); Carbon fibers; Metal-organic framework; Organic compound; Chemical engineering; Chemistry; Environmental chemistry; Materials science; Inorganic chemistry; Organic chemistry; Composite material","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00005950991,0.0002206167,0.0001543928,0.0002075844,0.0001211776,0.0001932233,0.0002102767,0.0003002712,0.0006604685],"category_scores_gemma":[0.0001488468,0.0001152614,0.0001960824,0.0001513245,0.0001206062,0.0002119357,0.000134017,0.0002284036,0.0001580239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003178553,"about_ca_system_score_gemma":0.0001693948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002172894,"about_ca_topic_score_gemma":0.004660519,"domain_scores_codex":[0.9999214,0.000004216572,0.000003779206,0.00001605938,0.000028854,0.00002563625],"domain_scores_gemma":[0.9999369,0.00001056771,0.00001338776,0.000006724916,0.00002334533,0.000009053541],"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":[0.00002001285,0.00000544927,0.00006449842,0.0000272074,0.000002333036,0.00002797485,0.000005227275,0.0000966354,0.9985864,0.00002711847,0.00002268997,0.00111442],"study_design_scores_gemma":[0.000001594481,0.00003169011,0.0004492251,0.000002151888,0.000003525842,0.00004433153,0.000008694426,0.000992476,0.9977908,0.000005361862,0.0006670745,0.000003036131],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936888,0.0005372521,0.004427736,0.00003562945,0.00002715443,0.00001778257,0.0001246041,0.0001002332,0.001040961],"genre_scores_gemma":[0.9952732,0.0001890633,0.003038181,0.00002096667,0.000002995278,0.00001096143,0.0001342012,0.00001971634,0.001310827],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002172894,"threshold_uncertainty_score":0.004320502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008784188396310802,"score_gpt":0.2194002845613293,"score_spread":0.2106160961650185,"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."}}