{"id":"W4214810246","doi":"10.3390/acoustics4010013","title":"Prediction of Sound Insulation Using Artificial Neural Networks—Part I: Lightweight Wooden Floor Structures","year":2022,"lang":"en","type":"article","venue":"Acoustics","topic":"Acoustic Wave Phenomena Research","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada; Lunds Universitet; FPInnovations","keywords":"Soundproofing; Acoustics; Octave (electronics); Sound pressure; Artificial neural network; Range (aeronautics); Computer science; Engineering; Artificial intelligence; Physics","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":[0.0003748506,0.0007720076,0.0002798426,0.0004001395,0.0001731078,0.0003977358,0.0003119246,0.0005325889,0.0007510007],"category_scores_gemma":[0.0009947825,0.0002105546,0.0004094148,0.0003019981,0.0002228188,0.0003188186,0.0002487779,0.0004539337,0.0001490947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003683713,"about_ca_system_score_gemma":0.000305595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009679756,"about_ca_topic_score_gemma":0.004156729,"domain_scores_codex":[0.9998832,0.00002776538,0.000007696091,0.00003380208,0.00002576291,0.00002176941],"domain_scores_gemma":[0.9996069,0.0002478783,0.00004230624,0.00001859215,0.00007138133,0.00001294474],"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":[0.00005829312,0.00004248132,0.002232059,0.00001780458,0.00001522624,0.00003087642,0.00001202755,0.9702868,0.002030319,0.0001001078,0.0001061654,0.02506776],"study_design_scores_gemma":[6.416578e-7,0.00001003236,0.0004881045,0.000001112472,0.000001301421,0.000001489217,0.000002604192,0.9989257,0.0005079702,0.00004544471,0.00001423392,0.000001343891],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7689337,0.0002489953,0.2280756,0.0000825956,0.00004487562,0.00004488778,0.0001448635,0.0004099013,0.00201463],"genre_scores_gemma":[0.9864305,0.00006975407,0.01219673,0.000008222835,0.000007064099,0.00003503887,0.000149078,0.000009782308,0.00109379],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009679756,"threshold_uncertainty_score":0.01924682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04482516056550696,"score_gpt":0.2499997802543003,"score_spread":0.2051746196887934,"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."}}