{"id":"W3002142521","doi":"10.1038/s41563-019-0586-y","title":"Fatigue of graphene","year":2020,"lang":"en","type":"article","venue":"Nature Materials","topic":"Graphene research and applications","field":"Materials Science","cited_by":179,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Graphene; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001975815,0.00008497806,0.0001939415,0.00003517951,0.00004666698,0.00004065071,0.0003064046,0.000117623,0.002139148],"category_scores_gemma":[0.0001361261,0.00006791658,0.0000399017,0.0002368808,0.00007712152,0.00007110124,0.00007085104,0.00008918854,0.0001339624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003994578,"about_ca_system_score_gemma":0.00002951927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001763464,"about_ca_topic_score_gemma":0.000001178274,"domain_scores_codex":[0.99909,0.00006111598,0.0002170198,0.0001998305,0.0002450091,0.000187089],"domain_scores_gemma":[0.9994767,0.00003593847,0.0000869294,0.0001940128,0.00008822604,0.0001182409],"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":[0.00002901564,0.00001683207,0.00003835517,0.00004897733,0.0000037592,0.000001019462,0.00005680529,0.000002700483,0.9830444,0.01325702,0.003432739,0.0000683071],"study_design_scores_gemma":[0.0001469373,0.00004314237,0.0009340456,0.000009414584,0.00000497446,8.149665e-7,0.00001923941,0.000001927343,0.9933602,0.002530531,0.002880763,0.00006805913],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958963,0.0002454081,0.000507404,0.001906525,0.0001524565,0.0002061752,0.0002496649,0.00007054673,0.0007655594],"genre_scores_gemma":[0.9977238,0.00002201336,0.001657306,0.0003841314,0.0001400357,0.00002629828,0.00002162278,0.00001004479,0.00001474141],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01072649,"threshold_uncertainty_score":0.998773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02920072137470721,"score_gpt":0.3079806324448274,"score_spread":0.2787799110701202,"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."}}