{"id":"W4392192567","doi":"10.1007/s40820-024-01349-w","title":"MXene-Based Elastomer Mimetic Stretchable Sensors: Design, Properties, and Applications","year":2024,"lang":"en","type":"review","venue":"Nano-Micro Letters","topic":"MXene and MAX Phase Materials","field":"Materials Science","cited_by":125,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Agencia Nacional de Investigación y Desarrollo; Alexander von Humboldt-Stiftung","keywords":"MXenes; Materials science; Robustness (evolution); Wearable technology; Wearable computer; Nanotechnology; Electronics; Flexible electronics; Fabrication; Elastomer; Stretchable electronics; Microelectromechanical systems; Electrical conductor; Flexibility (engineering); Computer science; Electrical engineering; Engineering; Embedded system; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006274601,0.0007161461,0.001480397,0.0003471076,0.0001800053,0.0005734484,0.0004773577,0.0003122239,0.0004095679],"category_scores_gemma":[0.000028706,0.0005207513,0.0002592516,0.0003664688,0.0002323813,0.0001266687,0.0001785626,0.0002355379,0.002298995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001920925,"about_ca_system_score_gemma":0.0004049277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006409827,"about_ca_topic_score_gemma":0.000002240988,"domain_scores_codex":[0.9968119,0.0003817483,0.0008325661,0.001048812,0.0003004063,0.0006245736],"domain_scores_gemma":[0.9985648,0.000144486,0.0003242117,0.0007476843,0.0000523026,0.000166545],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001465877,0.00005805001,7.958392e-8,0.02385379,0.00008611147,0.00003881022,0.0000471548,0.00001797987,0.8991362,0.00002299395,0.03000608,0.04671805],"study_design_scores_gemma":[0.0001573013,0.00003299342,1.640483e-8,0.004448464,0.001030599,0.00005581935,0.00000463022,0.00000444345,0.08621737,0.00001019786,0.9074768,0.0005613468],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0009317611,0.9936814,0.001268713,0.0003504055,0.0006520825,0.002456412,0.0003306436,0.0002836316,0.00004489104],"genre_scores_gemma":[0.0001036221,0.9907622,0.003474758,0.001409945,0.0007431331,0.001955271,0.0001358455,0.0002330798,0.001182179],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8774707,"threshold_uncertainty_score":0.9997244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07076128513639092,"score_gpt":0.2899927191352852,"score_spread":0.2192314339988943,"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."}}