{"id":"W4405987023","doi":"10.1021/acsami.4c17315","title":"Substantially Improving CO<sub>2</sub> Permeability and CO<sub>2</sub>/CH<sub>4</sub> Selectivity of Matrimid Using Functionalized-Ti<sub>3</sub>C<sub>2</sub>T<sub><i>x</i></sub>","year":2025,"lang":"en","type":"article","venue":"ACS Applied Materials & Interfaces","topic":"MXene and MAX Phase Materials","field":"Materials Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Division of Civil, Mechanical and Manufacturing Innovation; Vagelos Institute for Energy Science and Technology, University of Pennsylvania","keywords":"MXenes; Materials science; Polymer; Membrane; Selectivity; Surface modification; Chemical engineering; Gas separation; Contact angle; Hydrogen bond; Molecule; Nanotechnology; Organic chemistry; Composite material; Chemistry","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":[0.0001436032,0.0004035635,0.000219387,0.0001405431,0.0001185269,0.0003094391,0.0002161952,0.0004460079,0.0009225422],"category_scores_gemma":[0.0001865551,0.000180507,0.0001890805,0.00009388501,0.000200215,0.0004491732,0.0002233067,0.000523221,0.000292788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002823004,"about_ca_system_score_gemma":0.0001551539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004249512,"about_ca_topic_score_gemma":0.0009121295,"domain_scores_codex":[0.9999207,0.000006417725,0.000005044099,0.0000214363,0.0000287121,0.00001763131],"domain_scores_gemma":[0.9999143,0.00002127381,0.00002674012,0.00000862147,0.00001590978,0.00001326224],"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":[0.00001353911,0.000002554625,0.00006500098,0.00001687072,0.000001345528,0.00001265993,0.000006823288,0.00002378706,0.9993063,0.00002421312,0.00001169663,0.0005152236],"study_design_scores_gemma":[7.73255e-7,0.00002135509,0.0003454191,9.011509e-7,0.000002586154,0.00002989058,0.000005563132,0.0002801499,0.9990066,0.000003666707,0.0003018347,0.000001302452],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990831,0.0009832204,0.006591764,0.0001020564,0.00002756833,0.00002664009,0.0001509369,0.0001480088,0.001138909],"genre_scores_gemma":[0.9857833,0.0006146016,0.0113038,0.00004455553,0.000009546627,0.00001968665,0.0001537385,0.00003088121,0.002039945],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009225422,"threshold_uncertainty_score":0.00308615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01550085773002146,"score_gpt":0.2570907998917771,"score_spread":0.2415899421617556,"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."}}