{"id":"W2002154009","doi":"10.1121/1.4916791","title":"Optimization on microlattice materials for sound absorption by an integrated transfer matrix method","year":2015,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Acoustic Wave Phenomena Research","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Transfer matrix; Materials science; Absorption (acoustics); Transfer-matrix method (optics); Sound (geography); Acoustics; Porosity; Matrix (chemical analysis); Porous medium; Computer science; Composite material; Physics; Optoelectronics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002730016,0.0005938233,0.0003414876,0.0003190731,0.000157141,0.0003749274,0.0003991119,0.0003863719,0.001134519],"category_scores_gemma":[0.0004477094,0.0002380846,0.0002903703,0.0003350213,0.0002017784,0.0004328309,0.0002617115,0.0004215518,0.0003088803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003813904,"about_ca_system_score_gemma":0.0003704069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004612612,"about_ca_topic_score_gemma":0.0009390304,"domain_scores_codex":[0.9998241,0.00002169053,0.000006059657,0.00003049482,0.00009977455,0.00001793714],"domain_scores_gemma":[0.9998263,0.00008463729,0.00002829168,0.00001498407,0.00003765907,0.000008271804],"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":[0.00007865475,0.0001081793,0.0003186608,0.0002244892,0.00001673427,0.0000616668,0.00003329823,0.1253658,0.845202,0.004286209,0.0001642072,0.02414002],"study_design_scores_gemma":[0.00001946811,0.0002093852,0.0002880423,0.000008558037,0.00001502651,0.00005804085,0.00001770321,0.582728,0.4146575,0.0005942833,0.001385471,0.0000184488],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3000242,0.0007115193,0.6924407,0.00006585114,0.00002964831,0.0001339895,0.0001504982,0.0007179573,0.005725725],"genre_scores_gemma":[0.6070043,0.0004912298,0.3907845,0.00001868085,0.000006117664,0.0002482996,0.00009388562,0.00008571583,0.001267297],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001134519,"threshold_uncertainty_score":0.003795326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02743383906155713,"score_gpt":0.3097089928564538,"score_spread":0.2822751537948967,"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."}}