{"id":"W4393231429","doi":"10.1177/1351010x241235515","title":"Estimation of acoustical materials sound absorption coefficient under oblique incidence plane wave and diffuse field via Allard model inversion","year":2024,"lang":"en","type":"article","venue":"Building Acoustics","topic":"Acoustic Wave Phenomena Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut de recherche Robert-Sauvé en santé et en sécurité du travail; Université de Sherbrooke; École de Technologie Supérieure","funders":"Institut de Recherche Robert-Sauvé en Santé et en Sécurité du Travail","keywords":"Acoustics; Acoustic impedance; Attenuation coefficient; Plane wave; Reverberation room; Physics; Isotropy; Architectural acoustics; Reverberation; Noise reduction coefficient; Sound pressure; Room acoustics; Absorption (acoustics); Optics; Materials science; Ultrasonic sensor; Porosity","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003639615,0.0002088026,0.0002425239,0.0002202393,0.00006633714,0.0001241012,0.0001225413,0.0002040381,0.00003312487],"category_scores_gemma":[0.0002380458,0.0002069563,0.00002934802,0.0001873111,0.00009117585,0.000142256,0.0001393221,0.0002722199,0.00001070348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002059638,"about_ca_system_score_gemma":0.00005184471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001923314,"about_ca_topic_score_gemma":0.000001165184,"domain_scores_codex":[0.9985965,0.00002902748,0.0003645952,0.0002688965,0.0004120041,0.0003289107],"domain_scores_gemma":[0.9990305,0.0005211822,0.00003560266,0.0002200864,0.00007104018,0.0001215468],"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":[0.00001621012,0.00001858738,0.000002884287,0.0005698032,0.00002264162,0.00001174697,0.0001415961,0.6200992,0.3769192,0.0007250031,0.0003747592,0.00109832],"study_design_scores_gemma":[0.0001810092,0.00007214147,0.00004659448,0.0002221055,0.0000818511,0.00002889439,0.00006412061,0.9652616,0.02688905,0.006952555,0.000002772667,0.0001973078],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4647195,0.0001119323,0.5346004,0.00004191075,0.0001954038,0.0001278991,0.0000381538,0.00013908,0.00002572731],"genre_scores_gemma":[0.9730937,0.0001788017,0.02647291,0.00003918858,0.00009215112,0.00001102459,0.00002535341,0.00005239154,0.00003445204],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5083742,"threshold_uncertainty_score":0.8439431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02095976612543006,"score_gpt":0.2684823108053018,"score_spread":0.2475225446798718,"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."}}