{"id":"W4297625979","doi":"10.1061/9780784484265.289","title":"A Study of the Pressure Waves Induced by Two 600 km/h High-Speed Maglev Trains Intersecting in a Tunnel","year":2022,"lang":"en","type":"article","venue":"CICTP 2022","topic":"Aerodynamics and Fluid Dynamics Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Education and Child Care","funders":"","keywords":"Maglev; Train; Turbulence; Compressibility; High speed train; Transient (computer programming); Mechanics; Computer simulation; Engineering; Geology; Marine engineering; Structural engineering; Physics; Computer science; Electrical engineering","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":[0.0002288706,0.0002428868,0.0003722113,0.0003203352,0.0004185317,0.0003651715,0.0002742679,0.0005244451,0.0006025379],"category_scores_gemma":[0.0005643513,0.0001269791,0.0003151727,0.0002786232,0.0004479518,0.0003943276,0.000336501,0.0004351336,0.00005872131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000170191,"about_ca_system_score_gemma":0.0002772654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002199655,"about_ca_topic_score_gemma":0.00106728,"domain_scores_codex":[0.9998465,0.00002722143,0.000006052954,0.00002137089,0.00005503202,0.00004379575],"domain_scores_gemma":[0.9996417,0.0001377984,0.00005023484,0.000034367,0.00006888063,0.00006695779],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001385712,0.001057081,0.07005635,0.0002460062,0.0001146337,0.006010656,0.001274462,0.2064547,0.6871315,0.002284041,0.0004475441,0.02353739],"study_design_scores_gemma":[0.00008380148,0.003325032,0.149876,0.00001461505,0.00005230292,0.0007998021,0.001343659,0.723193,0.1201994,0.0003452043,0.0006916287,0.00007556291],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984297,0.000009752706,0.001189769,0.000007152694,0.000002798165,0.000006047248,0.000008832331,0.00001135157,0.0003345572],"genre_scores_gemma":[0.9995216,0.000008814585,0.0002930504,0.00000135605,0.000001241417,0.000001932096,0.00001217265,0.000001246598,0.0001586478],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002199655,"threshold_uncertainty_score":0.00437367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01577522115851264,"score_gpt":0.250292502357604,"score_spread":0.2345172811990914,"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."}}