{"id":"W2766559177","doi":"10.1038/s41467-017-01351-4","title":"Nonlinear dynamic characterization of two-dimensional materials","year":2017,"lang":"en","type":"article","venue":"Nature Communications","topic":"Mechanical and Optical Resonators","field":"Physics and Astronomy","cited_by":139,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek; European Commission; Graphene Flagship","keywords":"Nonlinear system; Characterization (materials science); Membrane; Modulus; Materials science; Graphene; Resonator; Frequency response; Material properties; Mechanics; Spring (device); Biological system; Physics; Nanotechnology; Statistical physics; Condensed matter physics; Composite material; Chemistry; Optoelectronics; Thermodynamics; Engineering; Quantum mechanics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001101374,0.00007086016,0.0001314655,0.00002081258,0.0003103832,0.00004096388,0.0008361907,0.00006932546,0.0003344473],"category_scores_gemma":[0.00004668526,0.00006014748,0.00004844029,0.0000331126,0.00009960753,0.00009667536,0.0003702974,0.000254306,0.00003273512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006507663,"about_ca_system_score_gemma":0.00002880977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002668945,"about_ca_topic_score_gemma":0.000008447932,"domain_scores_codex":[0.999486,0.00003928062,0.0001819468,0.00009641978,0.0001052205,0.00009116954],"domain_scores_gemma":[0.9982256,0.00006953081,0.0001896199,0.001354709,0.0001130918,0.00004741442],"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":[0.000009967915,0.0002294718,0.002046839,0.000004883875,0.00003588772,1.162165e-7,0.00001530683,9.540547e-7,0.5661713,0.4256498,0.00003148874,0.005804039],"study_design_scores_gemma":[0.002608004,0.0001214687,0.1854767,0.0002645152,0.0002026974,0.000001868977,0.00003337249,0.02405803,0.6879469,0.05998341,0.03840116,0.000901889],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928635,0.0000527809,0.0002993139,0.002057707,0.0001941366,0.0001406637,0.000327331,0.00001540996,0.004049135],"genre_scores_gemma":[0.9942638,0.000006882444,0.004961968,0.00005517015,0.00005263793,0.00001175239,0.0004500636,0.000008075726,0.0001896356],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3656663,"threshold_uncertainty_score":0.3661964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01390167218874893,"score_gpt":0.3137934286466563,"score_spread":0.2998917564579073,"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."}}