{"id":"W4300531948","doi":"","title":"Trailing Edge Noise Computation of a Fan Blade Profile","year":2008,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Aerodynamics and Acoustics in Jet Flows","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Blade (archaeology); Trailing edge; Computation; Noise (video); Computer science; Acoustics; Enhanced Data Rates for GSM Evolution; Structural engineering; Engineering; Physics; Telecommunications; Artificial intelligence; Algorithm","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003325666,0.0005178721,0.000581592,0.0003797808,0.0005927936,0.0006944137,0.0006027762,0.0009692979,0.002007983],"category_scores_gemma":[0.001492003,0.0002909093,0.0004085894,0.0002753455,0.0004659285,0.0005288276,0.0004242468,0.0005420969,0.0002803302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005412449,"about_ca_system_score_gemma":0.0007437929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008642863,"about_ca_topic_score_gemma":0.007254771,"domain_scores_codex":[0.9999038,0.00003145304,0.00000380068,0.00001408095,0.00002899326,0.00001791276],"domain_scores_gemma":[0.9994566,0.0002529873,0.00003031443,0.00003387474,0.000154697,0.00007163094],"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":[0.0003118023,0.0000767969,0.002788775,0.0000558737,0.00002182895,0.0003706119,0.0001073443,0.9608434,0.01461385,0.006389366,0.0008784243,0.01354196],"study_design_scores_gemma":[0.000005269663,0.0000112933,0.0002617167,0.000001742434,0.000001320155,0.00001006657,0.000007333806,0.9986595,0.0006980911,0.0002420971,0.00009949537,0.000002024578],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7150478,0.000234496,0.2635522,0.0003565626,0.0002516992,0.00007028363,0.0001734282,0.0008350118,0.01947834],"genre_scores_gemma":[0.9748286,0.00004120038,0.01819849,0.00003153269,0.00003345628,0.0000153454,0.00007686695,0.0001280623,0.006646427],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008642863,"threshold_uncertainty_score":0.01718509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009831144449010063,"score_gpt":0.1987168274006902,"score_spread":0.1888856829516802,"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."}}