{"id":"W2113954038","doi":"10.1115/2000-gt-0349","title":"Microphone Probe for In-Duct Measurement of Gas Turbine Exhaust Noise","year":2000,"lang":"en","type":"article","venue":"Volume 2: Coal, Biomass and Alternative Fuels; Combustion and Fuels; Oil and Gas Applications; Cycle Innovations","topic":"Advanced Sensor Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Anechoic chamber; Duct (anatomy); Microphone; Acoustics; Calibration; Turbine; Frequency response; Materials science; Electrical engineering; Physics; Engineering; Aerospace engineering; Loudspeaker","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002373713,0.0002476699,0.0003030406,0.0004232445,0.0002257149,0.00006331754,0.0001584221,0.0001161758,0.00003867041],"category_scores_gemma":[0.00003708451,0.0002505025,0.0000335544,0.0008465654,0.0003380543,0.0001965163,0.00006031467,0.0002100346,0.000005349218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008644395,"about_ca_system_score_gemma":0.00002069542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009136594,"about_ca_topic_score_gemma":0.00004961077,"domain_scores_codex":[0.9985015,0.00002221316,0.0005175934,0.000409618,0.0002346233,0.0003144289],"domain_scores_gemma":[0.9990917,0.00006242307,0.0001017603,0.0002724443,0.0003898845,0.00008182529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007288426,0.0002599064,0.002794038,0.0005701036,0.00008485636,0.000001769249,0.0001837451,0.0006631342,0.3784572,0.002799503,0.0003245239,0.6137883],"study_design_scores_gemma":[0.01652016,0.001320211,0.07268842,0.001123467,0.0002386648,0.0001565005,0.002742991,0.1156539,0.428747,0.09979322,0.2572885,0.003727016],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9489766,0.002725774,0.04361105,0.002436582,0.00006358813,0.000805687,0.0002817339,0.0002153386,0.0008836624],"genre_scores_gemma":[0.9834141,0.008204009,0.00702651,0.00003148829,0.00006085632,0.0007521375,0.00008582735,0.00003714515,0.0003879802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6100613,"threshold_uncertainty_score":0.9999947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02134781106235879,"score_gpt":0.2571437909354801,"score_spread":0.2357959798731213,"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."}}