{"id":"W2237115896","doi":"10.4271/2006-01-0707","title":"Application of Novel Viscoelastic Microcellular Foams for Passive Noise Control in Automotive Body Structures","year":2006,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Polymer Foaming and Composites","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; University of Toronto","funders":"","keywords":"Viscoelasticity; Automotive industry; Noise control; Noise (video); Materials science; Computer science; Acoustics; Automotive engineering; Composite material; Engineering; Aerospace engineering; Noise reduction; Physics","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":[0.0001133912,0.0001813258,0.00009100793,0.0002261675,0.0001104389,0.0001511307,0.0001323936,0.0002108541,0.0004687521],"category_scores_gemma":[0.0001608021,0.00006926971,0.0001086569,0.00009186546,0.0001384446,0.000192947,0.0001749456,0.00009036204,0.0001077172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001064594,"about_ca_system_score_gemma":0.00005825709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001755048,"about_ca_topic_score_gemma":0.0004339311,"domain_scores_codex":[0.9999282,0.00001230073,0.000004703635,0.00001414887,0.00002794584,0.00001280959],"domain_scores_gemma":[0.9999068,0.00002742136,0.00002259284,0.000008552437,0.00002551178,0.000009044122],"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":[0.0000223105,0.00001618534,0.0001546135,0.00006146306,0.000002569626,0.00008423861,0.00004034181,0.0005447271,0.9844513,0.0001791529,0.00004545408,0.01439755],"study_design_scores_gemma":[0.000003446659,0.0002126274,0.0007899697,0.000008547965,0.000007932899,0.00019683,0.00002875829,0.00355492,0.9920833,0.00005401733,0.003054856,0.000004865303],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9372719,0.0043148,0.05442485,0.0001357869,0.00007380905,0.00003571801,0.00005146455,0.0001880019,0.00350367],"genre_scores_gemma":[0.9766352,0.0009568245,0.02103483,0.0000280107,0.00001575089,0.00001490102,0.00003437341,0.00001058537,0.001269503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004687521,"threshold_uncertainty_score":0.001568139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005172789409382121,"score_gpt":0.2276581183943638,"score_spread":0.2224853289849817,"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."}}