{"id":"W4388036736","doi":"10.1016/j.mtnano.2023.100428","title":"MXene/0D nanocomposite architectures: Design, properties and emerging applications","year":2023,"lang":"en","type":"article","venue":"Materials Today Nano","topic":"MXene and MAX Phase Materials","field":"Materials Science","cited_by":99,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"Fondo Nacional de Desarrollo Científico y Tecnológico; Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada; Agencia Nacional de Investigación y Desarrollo; Alexander von Humboldt-Stiftung","keywords":"MXenes; Nanotechnology; Rational design; Materials science; Graphene; Nanomaterials; van der Waals force; Nanocomposite; Computer science; Chemistry; Molecule","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001088433,0.0003200182,0.0004673066,0.0002283654,0.0004451535,0.0004721005,0.0003578945,0.0001146023,0.001029059],"category_scores_gemma":[0.00004986134,0.0002540298,0.00004420103,0.0002962858,0.0001507058,0.0001488002,0.0003229453,0.00004350773,0.001330179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002578472,"about_ca_system_score_gemma":0.00006052927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001326869,"about_ca_topic_score_gemma":0.000004098838,"domain_scores_codex":[0.9976608,0.0002923667,0.0005688192,0.000593919,0.0002837114,0.0006004048],"domain_scores_gemma":[0.9990412,0.00007848952,0.0001764847,0.000498099,0.00006701345,0.0001387189],"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":[0.00009204158,0.00002898899,0.000009115762,0.0002056806,0.00001178552,0.00001032003,0.0004792629,0.00009481397,0.996766,0.0003579277,0.001248176,0.0006958264],"study_design_scores_gemma":[0.0003489643,0.0000640357,0.0001113146,0.0000740199,0.00002769521,0.00002735295,0.00005526436,0.00001435642,0.9759869,0.001635047,0.02132279,0.0003322334],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949589,0.0002439386,0.001389224,0.0004128286,0.0007581235,0.001145232,0.0001301933,0.000722456,0.0002390781],"genre_scores_gemma":[0.994417,0.0001067924,0.002624712,0.0002496026,0.0004148985,0.0009589682,0.00004617033,0.00006543062,0.001116399],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02077914,"threshold_uncertainty_score":0.9999912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03640337797752832,"score_gpt":0.2584932310954141,"score_spread":0.2220898531178857,"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."}}