{"id":"W4320734276","doi":"10.3397/in_2022_0935","title":"A mass-spring analogy for modeling the acoustic behaviour of a metamaterial","year":2023,"lang":"en","type":"article","venue":"NOISE-CON proceedings","topic":"Acoustic Wave Phenomena Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; École de Technologie Supérieure","funders":"","keywords":"Metamaterial; Wavelength; Materials science; Spring (device); Absorption (acoustics); Resonance (particle physics); Acoustic impedance; Optics; Acoustics; Compressibility; Finite element method; Physics; Mechanics; Composite material; Optoelectronics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002170619,0.0006035969,0.0003036732,0.0005159001,0.0003053681,0.0004893438,0.0009057024,0.00178902,0.002701491],"category_scores_gemma":[0.0003360007,0.0002958248,0.0005907423,0.0003765482,0.0006261348,0.0008596433,0.0004132314,0.0006600671,0.0009761289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003780372,"about_ca_system_score_gemma":0.0002922166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009604366,"about_ca_topic_score_gemma":0.0008677169,"domain_scores_codex":[0.9999223,0.00002226931,0.000004288318,0.00001587172,0.00002765452,0.000007653961],"domain_scores_gemma":[0.9999279,0.00003184713,0.00001386324,0.000008876521,0.00001129131,0.000006242864],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000557965,0.00009893653,0.0005199797,0.0002558047,0.00003237067,0.0006017334,0.0002683676,0.6174675,0.08782406,0.2759324,0.001410816,0.01553229],"study_design_scores_gemma":[0.00000681129,0.00003363042,0.0001218257,0.00001389616,0.000006098345,0.00007718707,0.00001586797,0.9753428,0.001607802,0.01846291,0.004301261,0.000009924433],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02233491,0.0008904331,0.9486806,0.0005690324,0.0002331831,0.0001044679,0.0001274643,0.0002704336,0.02678947],"genre_scores_gemma":[0.6668532,0.002613664,0.2594873,0.000561337,0.0003035767,0.0007858644,0.0001213155,0.0002643127,0.06900939],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002701491,"threshold_uncertainty_score":0.009037375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03480331006321277,"score_gpt":0.2683448604232798,"score_spread":0.233541550360067,"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."}}