{"id":"W4413945762","doi":"10.3390/nano15171352","title":"Architecting Durability: Synergies in Assembly, Self-Repair, and Advanced Characterization of Carbon Nanotube Materials","year":2025,"lang":"en","type":"review","venue":"Nanomaterials","topic":"Carbon Nanotubes in Composites","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Durability; Characterization (materials science); Carbon nanotube; Materials science; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002196832,0.0009038597,0.004448547,0.000847239,0.0000951145,0.000243967,0.0006547174,0.0006465056,0.0001022638],"category_scores_gemma":[0.0008037126,0.0008202887,0.0002996489,0.0006747734,0.0001758492,0.0002685505,0.0008458839,0.0001519097,0.000008730353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003003344,"about_ca_system_score_gemma":0.0005128374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001305244,"about_ca_topic_score_gemma":0.00001558088,"domain_scores_codex":[0.9931594,0.001542949,0.00290914,0.00127058,0.0004411176,0.0006767873],"domain_scores_gemma":[0.9959901,0.001193553,0.001529161,0.001056816,0.0001429426,0.0000874275],"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":[0.00005499243,0.00009704199,0.00001975026,0.04816561,0.00005553089,0.00001608568,0.0001634414,8.891798e-7,0.9275558,0.0001059839,0.000001187431,0.02376371],"study_design_scores_gemma":[0.0006140231,0.0001498559,0.00009460666,0.0340086,0.0006906048,0.00008130189,0.00001751715,0.000005056613,0.9438658,0.00007974427,0.01931143,0.001081421],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.6278282,0.3674229,0.000001162543,0.000006728707,0.002305044,0.001570566,0.0004097848,0.0003438191,0.0001117927],"genre_scores_gemma":[0.02928441,0.968108,0.001305894,0.00001279241,0.0002347307,0.0006433956,0.0002061238,0.000118991,0.00008567148],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.6006851,"threshold_uncertainty_score":0.9994248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01228389924587157,"score_gpt":0.2830916404521353,"score_spread":0.2708077412062637,"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."}}