{"id":"W1873103167","doi":"10.4271/2008-01-2670","title":"Baffle Design Analysis for a Road Tanker: Transient Fluid Slosh Approach","year":2008,"lang":"en","type":"article","venue":"SAE International journal of commercial vehicles","topic":"Fluid Dynamics Simulations and Interactions","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Ministère des Transports; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Slosh dynamics; Baffle; Transient (computer programming); Marine engineering; Engineering; Hydroelasticity; Computational fluid dynamics; Computer science; Finite element method; Structural engineering; Aerospace engineering; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002122788,0.0001373801,0.0002723963,0.0005510113,0.0001109489,0.00005145399,0.000352719,0.00006590471,0.0000658925],"category_scores_gemma":[0.00004346658,0.0001324026,0.0004327878,0.0002757025,0.00004340308,0.0003226867,0.00001406338,0.0001762661,0.000005170257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001473843,"about_ca_system_score_gemma":0.00004877281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000181324,"about_ca_topic_score_gemma":0.0000204599,"domain_scores_codex":[0.9987901,0.00003832393,0.0005623088,0.00009658548,0.000358176,0.0001544714],"domain_scores_gemma":[0.9989747,0.0001544763,0.0001122555,0.0001085119,0.0005666441,0.00008343418],"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":[0.0001598444,0.0001991289,0.001794907,0.000006128688,0.001895527,0.00001249728,0.0006275115,0.972762,0.004770604,0.0004612001,0.005777886,0.01153276],"study_design_scores_gemma":[0.0009754049,0.0001145807,0.06989463,0.0000210992,0.0002729102,0.0001239575,0.00009086385,0.9142318,0.0006266254,0.000255421,0.01320147,0.0001911935],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3279394,0.0002271592,0.6696593,0.000287602,0.0007023277,0.0001095602,0.00005281211,0.0000330433,0.0009888283],"genre_scores_gemma":[0.9790584,0.0001998915,0.02009388,0.00008800725,0.0004211162,0.00001114339,0.00003421414,0.00002305677,0.00007026342],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.651119,"threshold_uncertainty_score":0.5399222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03393293645403173,"score_gpt":0.2673994098780844,"score_spread":0.2334664734240527,"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."}}