{"id":"W2146401910","doi":"10.5539/jmsr.v2n4p64","title":"Vibro-Acoustic Characterization and Optimization of Periodic Cellular Material Structures (PCMS) for NVH Applications","year":2013,"lang":"en","type":"article","venue":"Journal of Materials Science Research","topic":"Cellular and Composite Structures","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Noise, vibration, and harshness; Harshness; Vibration; Acoustics; Materials science; Automotive industry; Noise (video); Characterization (materials science); Structural engineering; Computer science; Mechanical engineering; Aerospace engineering; Engineering; Nanotechnology; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000832543,0.00008813778,0.0002023874,0.0003667886,0.0001870216,0.0003731074,0.0003026494,0.0000524741,0.000258631],"category_scores_gemma":[0.00004931305,0.00007216789,0.00002632474,0.0002930177,0.00029916,0.000426053,0.00005529956,0.00007606309,0.000001430027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004507029,"about_ca_system_score_gemma":0.00008048658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007868342,"about_ca_topic_score_gemma":2.105966e-7,"domain_scores_codex":[0.9987308,0.00004664547,0.000391838,0.0001176621,0.0004642316,0.0002487958],"domain_scores_gemma":[0.9990007,0.00004152312,0.0001170901,0.0001358679,0.0006055614,0.00009925257],"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":[0.00002722506,0.000007516126,0.0000132853,0.0001772983,0.00000651884,3.602803e-7,0.00009772052,0.02153566,0.9769996,0.0001184765,0.00001620862,0.001000066],"study_design_scores_gemma":[0.0001754217,0.0001265676,0.002052669,0.00002712371,0.00000930494,0.00002377704,0.00006125172,0.01155503,0.985383,0.0004103245,0.000100251,0.00007526089],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8737978,0.00006210928,0.1253479,0.00002849277,0.0003084853,0.0003936379,0.00003562131,0.00001056911,0.00001546503],"genre_scores_gemma":[0.9930639,0.0001021254,0.00649912,0.000002627889,0.0002629278,0.00002882054,0.00001628318,0.00001473545,0.000009426463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1192662,"threshold_uncertainty_score":0.3597883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01561252792195154,"score_gpt":0.2783820644683179,"score_spread":0.2627695365463663,"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."}}