{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.008591037,0.00404605,0.006025442,0.001635634,0.002328691,0.003206352,0.002694467,0.002321909,0.0003633143],"category_scores_gemma":[0.001033355,0.004049941,0.0007321667,0.002060413,0.002557856,0.002706337,0.002748762,0.001402067,0.0007267568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001460774,"about_ca_system_score_gemma":0.002157986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003997582,"about_ca_topic_score_gemma":0.0007683234,"domain_scores_codex":[0.9775178,0.00242682,0.006449897,0.005949393,0.003071571,0.004584563],"domain_scores_gemma":[0.987512,0.001565489,0.004446184,0.003624908,0.001706701,0.001144736],"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":[0.006147151,0.00134094,0.0001622284,0.003902304,0.0007774496,0.00009940594,0.001012597,0.0003740366,0.9731095,0.0007114804,0.002260794,0.01010214],"study_design_scores_gemma":[0.005491633,0.0007630725,0.0009553242,0.001081469,0.001539431,0.0002223677,0.000597457,0.00007277061,0.9820005,0.003163689,0.0002854278,0.003826813],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9791791,0.0009611023,0.001778296,0.0003077483,0.006289134,0.005681756,0.003843393,0.001513681,0.0004457715],"genre_scores_gemma":[0.9923081,0.002114294,0.0005456829,0.0007860503,0.001527672,0.001209189,0.0007759628,0.0007170894,0.00001598741],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01312895,"threshold_uncertainty_score":0.9989733,"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."}}