{"id":"W2991248446","doi":"10.1115/omae2019-96775","title":"Solving 2-D Slamming Problems by the Higher-Order MPS Method With an Improved Pressure Gradient Model","year":2019,"lang":"en","type":"article","venue":"","topic":"Fluid Dynamics Simulations and Interactions","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Slamming; Kernel (algebra); Consistency (knowledge bases); Derivative (finance); Applied mathematics; Mathematics; Pressure gradient; Mathematical analysis; Mechanics; Geometry; Materials science; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001054149,0.0001411346,0.0001100488,0.00003916928,0.0001010032,0.00008795207,0.0001354441,0.00005084438,0.0002020086],"category_scores_gemma":[0.000002907998,0.0000892115,0.00003024608,0.0001280239,0.00001056235,0.0003774252,0.00002192501,0.0001878802,0.00001285528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003063763,"about_ca_system_score_gemma":0.00001114855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001395799,"about_ca_topic_score_gemma":0.0001119339,"domain_scores_codex":[0.9993386,0.00001692258,0.0001526659,0.0001789519,0.0000993899,0.0002135201],"domain_scores_gemma":[0.9994684,0.00005316911,0.00002242076,0.000341065,0.00006931418,0.00004561735],"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":[0.000003420068,0.00001896963,0.00005381991,0.00002022623,0.00005752504,5.256398e-8,0.0002620959,0.9759739,0.01952554,0.002908396,0.0004272365,0.0007488416],"study_design_scores_gemma":[0.0002000176,0.00005354702,0.00004233954,0.00001259475,0.00002819392,0.000002405773,0.00008517109,0.9942725,0.00024823,0.0001729985,0.004725995,0.0001560185],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04182234,0.000140709,0.9361903,0.0001494018,0.0002471866,0.0004773986,0.00001420922,0.0003262344,0.02063224],"genre_scores_gemma":[0.9044336,0.000006738867,0.07986367,0.00005701671,0.00002648204,0.00004822632,0.0000204363,0.00005026119,0.01549355],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8626113,"threshold_uncertainty_score":0.3637939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007649971649708269,"score_gpt":0.2262631525322187,"score_spread":0.2186131808825104,"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."}}