{"id":"W2985291688","doi":"10.1021/acsnano.9b06325","title":"Soft Skin Layers Enable Area-Specific, Multiscale Graphene Wrinkles with Switchable Orientations","year":2019,"lang":"en","type":"article","venue":"ACS Nano","topic":"Advanced Materials and Mechanics","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Division of Civil, Mechanical and Manufacturing Innovation; Office of Naval Research; International Institute for Nanotechnology, Northwestern University; U.S. Department of Defense","keywords":"Materials science; Graphene; Fluoropolymer; Delamination (geology); Composite material; Wrinkle; Elastomer; Substrate (aquarium); Stretchable electronics; Ultimate tensile strength; Layer (electronics); Nanotechnology; Polymer; Electronics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006144658,0.0004230614,0.0001328655,0.0002267133,0.0001195209,0.0002964072,0.0002646405,0.0002947758,0.001216404],"category_scores_gemma":[0.0001469602,0.0001995293,0.0001953531,0.00010535,0.000230079,0.000400329,0.0003163817,0.0005525574,0.0003625009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000147096,"about_ca_system_score_gemma":0.00007331746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000182914,"about_ca_topic_score_gemma":0.0006123757,"domain_scores_codex":[0.9999225,0.000005251339,0.000004187758,0.00002220618,0.00002438116,0.00002144139],"domain_scores_gemma":[0.999838,0.00003608582,0.00005198956,0.00003124839,0.00001518709,0.00002758323],"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":[0.000009873124,0.000009631692,0.00004270829,0.00003065196,0.000003335131,0.00005377458,0.00001560795,0.0001946872,0.9967283,0.0001932578,0.00005225872,0.002665851],"study_design_scores_gemma":[0.000006849815,0.00006166504,0.0005176534,0.000003436966,0.000004633314,0.00009058011,0.00001291213,0.001143402,0.9964662,0.00009802737,0.001585669,0.000008966842],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.957682,0.00106079,0.03403529,0.0001241779,0.0001199298,0.000061254,0.0003031412,0.0007303722,0.00588311],"genre_scores_gemma":[0.9826493,0.0004496854,0.01483943,0.00004724461,0.00001487925,0.00002245852,0.00009273214,0.00005180025,0.001832395],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001216404,"threshold_uncertainty_score":0.004069328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006717122641398894,"score_gpt":0.1862154078641296,"score_spread":0.1794982852227307,"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."}}