{"id":"W6983445994","doi":"","title":"Method for Characterizing the Acoustic Properties of Thin Metamaterials Capable of Attenuating Broadband Noise at Low Frequencies.","year":2023,"lang":"en","type":"article","venue":"NPARC","topic":"Acoustic Wave Phenomena Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; National Research Council Canada","funders":"","keywords":"Metamaterial; Attenuation; Broadband; Noise control; Acoustic attenuation; Frequency band; Noise (video); Finite element method; Absorption (acoustics); Transfer-matrix method (optics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0003250594,0.000688036,0.0003361555,0.001033715,0.0002337152,0.0003320083,0.000614776,0.0007510759,0.002776446],"category_scores_gemma":[0.0007199603,0.0002944037,0.0003940244,0.0004883566,0.0003795538,0.0007145941,0.0003730514,0.0008753459,0.001505487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003226444,"about_ca_system_score_gemma":0.0005519828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000489029,"about_ca_topic_score_gemma":0.0008869366,"domain_scores_codex":[0.9997723,0.000036184,0.000009099326,0.00003307322,0.0001401196,0.000009226785],"domain_scores_gemma":[0.999774,0.0001049894,0.0000432521,0.00003477695,0.00003461181,0.000008353881],"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":[0.00008225966,0.000186363,0.001246751,0.0008430959,0.0001205445,0.0002237455,0.000157943,0.08152239,0.7228524,0.05619924,0.002506641,0.1340585],"study_design_scores_gemma":[0.00003345314,0.000178786,0.0009517094,0.0000445795,0.00004210976,0.0005377758,0.00004498565,0.8348318,0.1352736,0.01266303,0.01535012,0.00004795718],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007884608,0.0003571067,0.9869918,0.00005844386,0.00005459279,0.000114503,0.0001500465,0.0004528503,0.00393607],"genre_scores_gemma":[0.1847361,0.00126081,0.8065266,0.00010877,0.00003621192,0.0006980294,0.0003147494,0.000119371,0.006199353],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002776446,"threshold_uncertainty_score":0.009288132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0435610498991572,"score_gpt":0.2710144277839,"score_spread":0.2274533778847428,"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."}}