{"id":"W4383568229","doi":"10.1039/d3ta02936k","title":"Modification of Ti<sub>3</sub>C<sub>2</sub>T<sub><i>x</i></sub> MXene with hyperbranched polyethylene ionomers: stable dispersions in nonpolar/low-polarity organic solvents, oxidation protection, and potential application in supercapacitors","year":2023,"lang":"en","type":"article","venue":"Journal of Materials Chemistry A","topic":"MXene and MAX Phase Materials","field":"Materials Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University; Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Polyethylene; Ionomer; Materials science; Polymer chemistry; Ammonium; Polarity (international relations); Layer (electronics); Ion; Chemical engineering; Copolymer; Chemistry; Organic chemistry; Polymer; Nanotechnology; 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":[0.00004305887,0.0002660126,0.00007672697,0.00008025972,0.00008543746,0.0001505309,0.0001467023,0.0001921242,0.0009520833],"category_scores_gemma":[0.00009184296,0.00009650095,0.0001172082,0.00008513484,0.0001232701,0.0002184463,0.0001002486,0.0002307746,0.0002015048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001245284,"about_ca_system_score_gemma":0.00009724894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003550606,"about_ca_topic_score_gemma":0.0006206021,"domain_scores_codex":[0.9999726,0.000001737442,0.000001897391,0.000007053659,0.000008270885,0.000008507039],"domain_scores_gemma":[0.9999527,0.000006216557,0.0000183071,0.00000486829,0.000007978564,0.000009940057],"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":[0.00002203631,0.000003593895,0.00005296019,0.000009158877,0.000001613512,0.00001626694,0.000005835377,0.00004226584,0.9994072,0.00002891685,0.000008327267,0.0004017986],"study_design_scores_gemma":[0.000001390319,0.00002794437,0.0005727406,6.041802e-7,0.000002384609,0.00003583792,0.000004337607,0.0001779931,0.9989189,0.000005870663,0.000250613,0.000001327515],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969808,0.000179001,0.001586201,0.00001996595,0.000009497696,0.00001188162,0.00009956428,0.00003884126,0.001074211],"genre_scores_gemma":[0.9960246,0.0002289697,0.001562403,0.00001943288,0.00000394995,0.00001191073,0.0001447665,0.00001804769,0.001986004],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009520833,"threshold_uncertainty_score":0.003185093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01066445284890995,"score_gpt":0.2134427979650649,"score_spread":0.2027783451161549,"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."}}