{"id":"W2329233471","doi":"10.2514/6.2016-1065","title":"Time Spectral Method for Unsteady Confined Viscous Flows with Variable Inflow Velocity at Low Reynolds Numbers","year":2016,"lang":"en","type":"article","venue":"54th AIAA Aerospace Sciences Meeting","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Inflow; Reynolds number; Mechanics; Variable (mathematics); Physics; Mathematics; Turbulence; Mathematical analysis","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":[0.0003267643,0.0004489504,0.0003316057,0.000512969,0.0004100366,0.0005780551,0.0008101658,0.0006833979,0.004087571],"category_scores_gemma":[0.0012429,0.0001898548,0.0003380216,0.0003680229,0.0006438945,0.001072625,0.0007145406,0.000719996,0.000709709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002319236,"about_ca_system_score_gemma":0.0006039439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001917346,"about_ca_topic_score_gemma":0.002152182,"domain_scores_codex":[0.9998811,0.00004023151,0.000005540263,0.00001262953,0.00004833721,0.00001207869],"domain_scores_gemma":[0.9993582,0.0002900021,0.00004542872,0.00005224428,0.0002019631,0.00005219049],"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":[0.0004947073,0.0005237847,0.001261051,0.0003802991,0.00009118505,0.0003816332,0.0003015627,0.5350713,0.07383154,0.2242051,0.004212783,0.1592451],"study_design_scores_gemma":[0.000005797805,0.00001260407,0.0000573393,0.000003707044,0.00000255382,0.00001484833,0.000008708667,0.9947041,0.001330324,0.003205873,0.0006490807,0.000005058624],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04773808,0.0001720169,0.946117,0.0001085786,0.0001636902,0.00003429615,0.00005121451,0.0002349249,0.005380175],"genre_scores_gemma":[0.5559598,0.0005295625,0.416044,0.0001670285,0.000234441,0.0001996851,0.0002113563,0.00064789,0.02600632],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004087571,"threshold_uncertainty_score":0.01367426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006596143727200867,"score_gpt":0.2198177162942194,"score_spread":0.2132215725670185,"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."}}