{"id":"W4319160166","doi":"10.1017/jfm.2023.48","title":"Global receptivity analysis: physically realizable input–output analysis","year":2023,"lang":"en","type":"article","venue":"Journal of Fluid Mechanics","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Office of Naval Research; Natural Sciences and Engineering Research Council of Canada; Boeing","keywords":"Mach number; Boundary layer; Computer science; Forcing (mathematics); Mechanics; Context (archaeology); Supersonic speed; Control theory (sociology); Physics; Mathematical analysis; Mathematics; Geology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.00165267,0.001697276,0.0006643963,0.0005692125,0.0004033415,0.001714377,0.001135624,0.0008133085,0.00703303],"category_scores_gemma":[0.002851481,0.0004696198,0.001226068,0.0002312325,0.001806531,0.001657986,0.002318812,0.001561912,0.000744259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005576159,"about_ca_system_score_gemma":0.000739327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000522127,"about_ca_topic_score_gemma":0.0002888266,"domain_scores_codex":[0.9992792,0.0002422758,0.00002676111,0.0001101678,0.0002345751,0.0001070097],"domain_scores_gemma":[0.9990722,0.0004693924,0.0001272712,0.0001337812,0.0001423624,0.00005491488],"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":[0.0001451795,0.0000691121,0.001026994,0.0001448188,0.00005162345,0.0003479883,0.0001516029,0.8027949,0.0217984,0.1561646,0.0008947017,0.01641006],"study_design_scores_gemma":[0.000005730345,0.00004892366,0.000118204,0.00001100996,0.000008285904,0.00002778173,0.000023668,0.9608544,0.003067767,0.03528134,0.0005430388,0.000009798665],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01346846,0.0000439696,0.9801665,0.00008135627,0.00001711826,0.00004026428,0.00005421491,0.0001975449,0.00593053],"genre_scores_gemma":[0.8886117,0.0002144854,0.1017066,0.0001603721,0.00006034152,0.0003385342,0.0002145938,0.0004081094,0.008285282],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00703303,"threshold_uncertainty_score":0.0235278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009429389931020925,"score_gpt":0.226521885585248,"score_spread":0.2170924956542271,"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."}}