{"id":"W1538647694","doi":"","title":"Transmission loss optimization of multi-layer noise control treatments","year":2000,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Acoustic Wave Phenomena Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Decoupling (probability); Transmission loss; Sound transmission class; Noise control; Acoustics; Materials science; Transmission (telecommunications); Noise (video); Layer (electronics); Porosity; Infrasound; Computer science; Electronic engineering; Engineering; Noise reduction; Telecommunications; Composite material; Physics; Control engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006250456,0.0001538374,0.0001829948,0.0001594618,0.00005890962,0.00001653142,0.0001502242,0.0001127002,0.001841081],"category_scores_gemma":[0.00001839675,0.0001587721,0.00004086101,0.0001879761,0.00005310617,0.00006396857,0.000002456904,0.0001246091,0.00006609207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003755993,"about_ca_system_score_gemma":0.0001672224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002219043,"about_ca_topic_score_gemma":0.0002354115,"domain_scores_codex":[0.9990427,0.00001853737,0.0002166295,0.0001369558,0.000168625,0.000416497],"domain_scores_gemma":[0.9991652,0.00003940724,0.00001428978,0.0002124513,0.00007243617,0.0004961894],"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":[0.00001009098,0.00002364685,0.0001006248,0.00004547662,0.00005173485,0.00003290035,0.0001223564,0.9727245,0.01050483,0.000003761349,0.0005745965,0.01580551],"study_design_scores_gemma":[0.001101812,0.00003133928,0.002364418,0.0000226709,0.00006324832,0.000004442319,0.00002255956,0.9956124,0.0002044801,0.00001025606,0.0004116194,0.0001507068],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1020475,0.0004848885,0.8902527,0.00008955287,0.0001480558,0.0005735299,0.0005158224,0.0001277937,0.00576013],"genre_scores_gemma":[0.9872858,0.0002344072,0.01109492,0.00004932029,0.00004948307,0.00001275998,0.0000382073,0.00005440875,0.001180686],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8852383,"threshold_uncertainty_score":0.9990714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01396904137082404,"score_gpt":0.228573237191969,"score_spread":0.2146041958211449,"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."}}