{"id":"W4407087173","doi":"10.1016/j.ces.2025.121309","title":"Activated coke/metal–organic framework composite as a bio based novel green adsorbent for CO2 capturing","year":2025,"lang":"en","type":"article","venue":"Chemical Engineering Science","topic":"Carbon Dioxide Capture Technologies","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Adsorption; Coke; Composite number; Metal-organic framework; Chemical engineering; Activated carbon; Metal; Chemistry; Waste management; Materials science; Organic chemistry; Composite material; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000179341,0.0002989539,0.0003176929,0.0003916546,0.00003601477,0.00006843881,0.0008547492,0.000237739,0.000007401372],"category_scores_gemma":[0.0007350104,0.0003250775,0.0001097366,0.001710594,0.0002353219,0.0001582759,0.0001661186,0.0004656459,0.000007195574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004240202,"about_ca_system_score_gemma":0.00008360649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001043976,"about_ca_topic_score_gemma":3.764147e-7,"domain_scores_codex":[0.9983521,0.000001668753,0.0002742248,0.0004650531,0.0002904382,0.0006165064],"domain_scores_gemma":[0.9989389,0.0002734042,0.00003085622,0.0005315174,0.00009438661,0.0001309408],"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":[0.000006849217,0.00001765831,0.00001515193,0.000148443,0.00002358568,0.000001690261,0.00002442087,0.04712918,0.9508758,0.001468197,0.00005083977,0.0002381858],"study_design_scores_gemma":[0.0002795021,0.000009783161,0.0001312121,0.000207752,0.00002041762,0.000004645824,0.00001332589,0.1964688,0.8019908,0.0002015376,0.0003919243,0.0002803011],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.766793,0.0002702505,0.2292344,0.000268791,0.0005197197,0.0003233562,0.000019678,0.002365435,0.0002053978],"genre_scores_gemma":[0.9726981,0.000003008672,0.02699741,0.00009908406,0.00004169773,0.00008006243,0.000005490637,0.00004451752,0.00003066308],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2059051,"threshold_uncertainty_score":0.9999201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006972787189748404,"score_gpt":0.2155422326249007,"score_spread":0.2085694454351523,"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."}}