{"id":"W3092469959","doi":"10.1121/10.0001916","title":"On the practical application of the impulse response measurement method with swept-sine signals in building acoustics","year":2020,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Impulse (physics); Computer science; Impulse response; Acoustics; Sine wave; Signal processing; Digital signal processing; Mathematics; Engineering; Electrical engineering; Physics; Computer hardware","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00261191,0.0001635485,0.0003312573,0.00001619305,0.0001179565,0.00001033095,0.0007317021,0.00007517503,0.000007582604],"category_scores_gemma":[0.001817495,0.00006545352,0.0001923283,0.0005489155,0.0003210674,0.00004825279,0.0001304162,0.0009911295,4.548854e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002367125,"about_ca_system_score_gemma":0.0001252608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000268261,"about_ca_topic_score_gemma":2.059277e-7,"domain_scores_codex":[0.9975467,0.0006102697,0.0005731072,0.00009214395,0.0009478233,0.0002299983],"domain_scores_gemma":[0.9957733,0.003009047,0.0004859022,0.0004019772,0.000253174,0.00007665807],"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":[0.001545805,0.00006412201,0.00009025697,0.0001543693,0.0001560781,9.098745e-7,0.001647203,0.3767893,0.6020427,0.00004556839,0.006913509,0.01055025],"study_design_scores_gemma":[0.000543285,0.0009394861,0.0162584,0.0004924146,0.0004292994,0.00006672696,0.00191082,0.8683431,0.1078855,0.002492992,0.0004288732,0.0002090904],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1816285,0.0001134602,0.7894438,0.02824805,0.00009323245,0.0004268248,0.000005162552,0.00002878353,0.00001217013],"genre_scores_gemma":[0.8771281,0.00007820814,0.1215177,0.001126909,0.0001200746,0.000005182442,3.371765e-8,0.0000229452,8.667581e-7],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6954995,"threshold_uncertainty_score":0.430602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03568899315003712,"score_gpt":0.3266777636863934,"score_spread":0.2909887705363563,"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."}}