{"id":"W2320156358","doi":"10.2514/6.2012-703","title":"Analysis of Three-Dimensional Confined Laminar Flows with Multiple Flow Separation Regions","year":2012,"lang":"en","type":"article","venue":"50th AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Laminar flow; Separation (statistics); Flow (mathematics); Mechanics; Flow separation; Computer science; Physics; Turbulence","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":[0.0002316826,0.0006118122,0.0004320955,0.0007683889,0.0004015564,0.0007502164,0.0004822667,0.00054912,0.0006899475],"category_scores_gemma":[0.0005973803,0.0001908709,0.0005633977,0.0002629338,0.0007658632,0.0003962376,0.0005613096,0.0002609029,0.0001069228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004158831,"about_ca_system_score_gemma":0.0006110347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001543058,"about_ca_topic_score_gemma":0.0007006022,"domain_scores_codex":[0.9998869,0.00001803591,0.000005707283,0.00002231557,0.00004779867,0.00001924273],"domain_scores_gemma":[0.9997049,0.0001135013,0.00007170479,0.0000153683,0.00006172267,0.00003271567],"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":[0.0001660546,0.0001758529,0.003525971,0.0002963052,0.0000793687,0.0005692333,0.0002984636,0.844534,0.1081384,0.01729565,0.0003942456,0.02452644],"study_design_scores_gemma":[0.000008336526,0.0000724409,0.001351763,0.00001262867,0.00001126893,0.000100052,0.00003508001,0.9893119,0.006528365,0.00178955,0.0007590067,0.00001956417],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4443321,0.001270265,0.5464222,0.0001198686,0.00005473457,0.0001165,0.0001348832,0.0004052781,0.007144292],"genre_scores_gemma":[0.9529309,0.0004014158,0.04384999,0.00002942151,0.00003722464,0.00008390246,0.00009810033,0.00004312064,0.00252589],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001543058,"threshold_uncertainty_score":0.003068149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01457578716531734,"score_gpt":0.2452778447278325,"score_spread":0.2307020575625152,"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."}}