{"id":"W3092729794","doi":"10.1126/sciadv.abb1335","title":"Graphene fatigue through van der Waals interactions","year":2020,"lang":"en","type":"article","venue":"Science Advances","topic":"Graphene research and applications","field":"Materials Science","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Graphene; van der Waals force; Materials science; Polymer; Composite material; Nanotechnology; Physics; Molecule; Quantum mechanics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007509359,0.0002518948,0.0001380257,0.00024246,0.0003401672,0.0002659817,0.000318318,0.0004665582,0.002567906],"category_scores_gemma":[0.0002117563,0.0001616793,0.0001722837,0.0001383646,0.0003028911,0.0004635422,0.0004260968,0.0002930067,0.000329111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002124295,"about_ca_system_score_gemma":0.0001239466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001017342,"about_ca_topic_score_gemma":0.001918382,"domain_scores_codex":[0.9999093,0.000009527446,0.000003235664,0.00001431931,0.00003545903,0.00002822375],"domain_scores_gemma":[0.9999342,0.0000222446,0.0000120149,0.00001128376,0.00001248225,0.000007713796],"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":[0.0000462933,0.00003313432,0.0007983714,0.0001927674,0.00002771863,0.0003864278,0.0001795298,0.003634867,0.9707915,0.008016165,0.001146475,0.01474673],"study_design_scores_gemma":[0.0000301648,0.0006157274,0.008823178,0.00004122835,0.00004474745,0.0009233481,0.0002324874,0.09164612,0.8685117,0.007624313,0.02142767,0.00007943132],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9747893,0.002214532,0.009980608,0.0003794984,0.0001084939,0.00003195584,0.0001233072,0.0001516383,0.01222057],"genre_scores_gemma":[0.9969728,0.0004407775,0.0007826951,0.00004646849,0.00001006733,0.0000122485,0.00003959712,0.000009060495,0.001686252],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002567906,"threshold_uncertainty_score":0.008590519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06878261618002587,"score_gpt":0.3850009512320719,"score_spread":0.316218335052046,"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."}}