{"id":"W2417181545","doi":"10.1038/srep16556","title":"Surface hydrogenation regulated wrinkling and torque capability of hydrogenated graphene annulus under circular shearing","year":2015,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Graphene research and applications","field":"Materials Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Nutrition, Metabolism and Diabetes; State Key Laboratory of Ocean Engineering; Brown University","keywords":"Graphene; Materials science; Shearing (physics); Torque; Annulus (botany); Composite material; Nanotechnology; Thermodynamics; Physics","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":[0.00005956505,0.0001525999,0.0001006021,0.0001125613,0.0001316152,0.0001930686,0.0001796946,0.0001526641,0.0007499208],"category_scores_gemma":[0.0001675439,0.00007993182,0.0001097172,0.0001611272,0.0002344005,0.0002605789,0.0001186567,0.0001557968,0.0000739681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001388644,"about_ca_system_score_gemma":0.00007314853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005607051,"about_ca_topic_score_gemma":0.0008379995,"domain_scores_codex":[0.9999654,0.000002669044,0.000001878785,0.000008226662,0.00001042009,0.00001134808],"domain_scores_gemma":[0.9999204,0.00002011249,0.00002148468,0.0000130041,0.00001320486,0.00001176831],"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":[0.0001162653,0.00001767624,0.0008136456,0.00006131174,0.000008252934,0.0001251907,0.00005831835,0.004923427,0.9912854,0.0004720114,0.00006145856,0.002057025],"study_design_scores_gemma":[0.00001313557,0.0002494575,0.00906173,0.000004576697,0.00001191429,0.00008098655,0.0001067356,0.04296114,0.9463802,0.0003304451,0.0007778016,0.000021867],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989034,0.00006012732,0.0005837836,0.000008511958,0.000004448297,0.000001512098,0.00004145504,0.00002352559,0.0003732321],"genre_scores_gemma":[0.9993855,0.00004938218,0.000369655,0.000002532232,8.694982e-7,0.000001797456,0.00004613605,0.000003341504,0.0001407986],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007499208,"threshold_uncertainty_score":0.0025087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03237967347398589,"score_gpt":0.2767594506238567,"score_spread":0.2443797771498707,"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."}}