{"id":"W4281867443","doi":"10.1016/j.eml.2022.101847","title":"Inerter-based elastic metamaterials for band gap at extremely low frequency","year":2022,"lang":"en","type":"article","venue":"Extreme Mechanics Letters","topic":"Acoustic Wave Phenomena Research","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Department of Mechanical Engineering, University of Alberta; University of Utah","keywords":"Metamaterial; Acoustic metamaterials; Frequency band; Materials science; Band gap; Physics; Optoelectronics; Acoustics; Engineering; Telecommunications; Bandwidth (computing)","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":[0.0001698148,0.000310825,0.000233698,0.0002730898,0.0002437264,0.0005491865,0.0005494896,0.000530229,0.002853461],"category_scores_gemma":[0.0002323122,0.000154864,0.0001521933,0.0001231404,0.0004026786,0.0006740245,0.0005031763,0.0005083774,0.000938411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001585078,"about_ca_system_score_gemma":0.00007500899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005068153,"about_ca_topic_score_gemma":0.0001665473,"domain_scores_codex":[0.9999051,0.00001004328,0.000004174786,0.00002169245,0.00004115665,0.00001789629],"domain_scores_gemma":[0.9998946,0.00002907029,0.00002147196,0.00002538965,0.00001493498,0.00001455312],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001222102,0.00005051512,0.0001021127,0.00007788127,0.000006458009,0.0001111678,0.0000573175,0.001124393,0.9500844,0.04154619,0.000502752,0.006214539],"study_design_scores_gemma":[0.00004667783,0.0003678036,0.000771655,0.00002359074,0.00002210395,0.0003678186,0.00006099861,0.05154634,0.9224135,0.01101216,0.01331608,0.00005138803],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8495623,0.001667678,0.08959226,0.0006871646,0.0004907772,0.00005751857,0.0001243856,0.001055842,0.05676211],"genre_scores_gemma":[0.9774685,0.0002659795,0.01460383,0.000097879,0.00003067532,0.00001773893,0.00005303962,0.00006632837,0.007396075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002853461,"threshold_uncertainty_score":0.009545743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04490606645937965,"score_gpt":0.2266915784379768,"score_spread":0.1817855119785972,"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."}}