{"id":"W2947769038","doi":"10.1039/c9nr01453e","title":"Nanoscale toughening of ultrathin graphene oxide-polymer composites: mechanochemical insights into hydrogen-bonding/van der Waals interactions, polymer chain alignment, and steric parameters","year":2019,"lang":"en","type":"article","venue":"Nanoscale","topic":"Carbon Nanotubes in Composites","field":"Materials Science","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Army Research Office; Division of Civil, Mechanical and Manufacturing Innovation; Division of Materials Research; Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; van der Waals force; Graphene; Toughening; Steric effects; Polymer; Nanoscopic scale; Oxide; Hydrogen bond; Composite material; Chain (unit); Nanotechnology; Chemical engineering; Toughness; Molecule; Chemistry; Organic chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005538283,0.0002187151,0.0001285509,0.0001063656,0.0001131686,0.000128616,0.0001521769,0.0001560698,0.000546829],"category_scores_gemma":[0.0001097018,0.0001023875,0.0001548694,0.00006931788,0.0001763539,0.0002481882,0.0001271337,0.000329874,0.00006010127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001490296,"about_ca_system_score_gemma":0.0001109327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004989631,"about_ca_topic_score_gemma":0.001308295,"domain_scores_codex":[0.9999679,0.000002723848,0.000001085663,0.000005825975,0.00001428662,0.000008105684],"domain_scores_gemma":[0.9999523,0.00002512464,0.00001044918,0.000003927791,0.000003938293,0.000004169651],"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":[0.00002054184,0.00002527213,0.0003744363,0.00009371537,0.00001241322,0.00004754725,0.00003249412,0.006817659,0.9884461,0.0003702445,0.00002070872,0.003738997],"study_design_scores_gemma":[0.000008473266,0.0002713575,0.004829537,0.00001411841,0.0000252888,0.0000921047,0.00008763384,0.0696156,0.9231543,0.0004488113,0.001432854,0.00001992182],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958107,0.0003706319,0.003073856,0.00002099791,0.000005927377,0.000006223222,0.00001916475,0.00001945355,0.0006730268],"genre_scores_gemma":[0.9965441,0.0003627208,0.002841265,0.000007910388,0.000002195597,0.000005190551,0.00002328676,0.000006983543,0.0002065003],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000546829,"threshold_uncertainty_score":0.001829386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009638282484710149,"score_gpt":0.2417392694121056,"score_spread":0.2321009869273955,"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."}}