{"id":"W2053473652","doi":"10.1115/1.4006152","title":"Numerical Solution of 3-D Water Entry Problems With a Constrained Interpolation Profile Method","year":2012,"lang":"en","type":"article","venue":"Journal of Offshore Mechanics and Arctic Engineering","topic":"Fluid Dynamics Simulations and Interactions","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Slamming; Wedge (geometry); Oblique case; Computation; Conjugate gradient method; Cartesian coordinate system; Poisson's equation; Interpolation (computer graphics); Mathematics; Mathematical analysis; Nonlinear system; Polar coordinate system; Spline interpolation; Finite difference method; Finite difference; Geometry; Mechanics; Navier–Stokes equations; Mathematical optimization; Geology; Physics; Classical mechanics; Algorithm; Bilinear interpolation","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":[0.0002303485,0.0001038814,0.0001817694,0.000148573,0.00002285407,0.00001486057,0.00004125827,0.00004579078,0.00003401792],"category_scores_gemma":[0.00001986411,0.00007398801,0.00004949308,0.00008256317,0.000004682837,0.0002898154,0.00001112475,0.0001906393,6.232302e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004243,"about_ca_system_score_gemma":0.000007956719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002630202,"about_ca_topic_score_gemma":3.860179e-7,"domain_scores_codex":[0.9993356,0.00001048174,0.0003232627,0.00004686901,0.0001144151,0.0001693332],"domain_scores_gemma":[0.9996517,0.00004385374,0.00006422758,0.00006048158,0.00009941494,0.00008035993],"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":[0.00002822968,0.00007832183,0.000558707,0.0003545553,0.0002358842,0.000002108547,0.001204112,0.8021412,0.1856535,0.007581359,0.00002747274,0.002134499],"study_design_scores_gemma":[0.0002386816,0.0001209069,0.0001697039,0.0001838971,0.00004668898,0.000217461,0.00007559959,0.9935013,0.005050086,0.00008722648,0.0002150782,0.00009333801],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05370071,0.0002080744,0.9455489,0.00003695062,0.0003149535,0.00007857676,0.000002618907,0.0000202553,0.00008897285],"genre_scores_gemma":[0.9275152,0.00003372721,0.07233552,0.000003113022,0.00008018535,0.000002890809,0.000003270189,0.00001894159,0.000007121608],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8738145,"threshold_uncertainty_score":0.3017143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007939682516675753,"score_gpt":0.2178531573722006,"score_spread":0.2099134748555249,"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."}}