{"id":"W1523570279","doi":"","title":"Using a spherical microphone array for identification of airborne sound transmission paths","year":2004,"lang":"en","type":"article","venue":"NPARC","topic":"Water Systems and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Acoustics; Reverberation; Microphone; Soundproofing; Microphone array; Transmission (telecommunications); Sound transmission class; Transmission loss; Identification (biology); Architectural acoustics; Path (computing); Computer science; Loudspeaker; Physics; Telecommunications","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000465944,0.0006353481,0.0006020686,0.000610854,0.0002266822,0.000506855,0.0003755002,0.0006684943,0.003468041],"category_scores_gemma":[0.001014801,0.0002178234,0.0003385413,0.0005802081,0.0002136829,0.0006215465,0.000459263,0.0003458917,0.003179868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001226742,"about_ca_system_score_gemma":0.0003683097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005952158,"about_ca_topic_score_gemma":0.001185355,"domain_scores_codex":[0.9992214,0.0002194779,0.00003882711,0.0001871615,0.0002802487,0.00005279268],"domain_scores_gemma":[0.9993902,0.0001802342,0.00004138114,0.00007436759,0.0002840174,0.00002980174],"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":[0.0003344408,0.00005713134,0.001862473,0.0001925988,0.0000413401,0.00007809307,0.00009591597,0.003478223,0.7465451,0.001155702,0.001028644,0.2451302],"study_design_scores_gemma":[0.0001395403,0.001944566,0.02583682,0.00005328613,0.0002261002,0.002382974,0.0002240287,0.2010052,0.7383698,0.001443874,0.02817794,0.000195768],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05479496,0.0004345003,0.9366089,0.00008493198,0.0001346516,0.0001161771,0.0003381695,0.001616224,0.0058715],"genre_scores_gemma":[0.2547072,0.0005196625,0.7393776,0.00009361433,0.00006955367,0.0001228575,0.0004036052,0.00007113427,0.004634694],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003468041,"threshold_uncertainty_score":0.01160175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01735011950788865,"score_gpt":0.2269770770859584,"score_spread":0.2096269575780698,"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."}}