{"id":"W2772721293","doi":"","title":"Aeroacoustics and Aircraft Noise","year":2017,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Aerodynamics and Acoustics in Jet Flows","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Aeroacoustics; Computational aeroacoustics; Aerodynamics; Noise (video); Aerospace engineering; Aircraft noise; Turbulence; Engineering; Noise reduction; Aeronautics; Acoustics; Computer science; Physics; Mechanics; Artificial intelligence; Sound pressure","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0002506069,0.0006000332,0.0004419737,0.001084138,0.0006777399,0.001526132,0.0004841332,0.001607676,0.0059896],"category_scores_gemma":[0.001112427,0.0001824082,0.0002700573,0.001493704,0.001778176,0.001084031,0.001040501,0.001223973,0.001356426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006965847,"about_ca_system_score_gemma":0.000534325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003604199,"about_ca_topic_score_gemma":0.002865831,"domain_scores_codex":[0.9993511,0.0001272352,0.00003414701,0.0001145319,0.0002997614,0.00007320435],"domain_scores_gemma":[0.9993962,0.0003080491,0.0001010111,0.00002869602,0.0001339088,0.00003214354],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001432607,0.0001814052,0.005173054,0.001553049,0.00003615924,0.002121991,0.001651734,0.03288492,0.02011304,0.6205774,0.01664161,0.2989224],"study_design_scores_gemma":[0.00002248854,0.000409583,0.02452583,0.001505767,0.00004222838,0.004722909,0.001975814,0.01946235,0.00540671,0.443066,0.4987093,0.0001509332],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.06421001,0.4730382,0.09614978,0.006390465,0.005259715,0.00009792299,0.0003197063,0.0002787783,0.3542554],"genre_scores_gemma":[0.5708773,0.2771958,0.01802416,0.001793035,0.005692984,0.0001093577,0.0004198682,0.000108213,0.1257793],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0059896,"threshold_uncertainty_score":0.02003723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007704902267396303,"score_gpt":0.1975911090241475,"score_spread":0.1898862067567512,"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."}}