{"id":"W4381056845","doi":"10.1016/j.euromechflu.2023.06.002","title":"Pressure analysis in nonlinear waves by revisiting the breaking wave onset","year":2023,"lang":"en","type":"article","venue":"European Journal of Mechanics - B/Fluids","topic":"Ocean Waves and Remote Sensing","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Hessian matrix; Breaking wave; Pressure gradient; Crest; Eigenvalues and eigenvectors; Nonlinear system; Mechanics; Mathematical analysis; Physics; Wave shoaling; Flow (mathematics); Mathematics; Classical mechanics; Wave propagation; Optics; Mechanical wave; Applied mathematics; Longitudinal wave","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":[0.004300785,0.0001681083,0.0003557916,0.0003538107,0.0002139524,0.0001636677,0.0003688278,0.00003542533,0.0001891919],"category_scores_gemma":[0.0002015647,0.0001070273,0.0002723324,0.001320621,0.00002798945,0.0001633811,0.00004589796,0.0004801709,0.00006633083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000511308,"about_ca_system_score_gemma":0.00003197267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004837939,"about_ca_topic_score_gemma":0.00002469876,"domain_scores_codex":[0.997467,0.0008120087,0.0006953327,0.0001991804,0.0004647072,0.0003617424],"domain_scores_gemma":[0.9989567,0.0002427747,0.0003551005,0.0002282921,0.00009062,0.0001265393],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003169237,0.00006235248,0.01660406,0.0001745328,0.003201519,0.007457064,0.007212249,0.1356035,0.004302024,0.0002230473,0.01370415,0.8111385],"study_design_scores_gemma":[0.0003623418,0.0001501425,0.0210033,0.0001971496,0.0004480663,0.0002870264,0.001045177,0.9581466,0.000149101,0.0001964088,0.01778572,0.0002290092],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9828541,0.004835749,0.004378377,0.00278552,0.0009685032,0.0001703063,0.0001673612,0.00006321114,0.003776923],"genre_scores_gemma":[0.995847,0.0007349156,0.002130274,0.0002411426,0.0006349669,1.869699e-9,0.00004770485,0.00001570533,0.0003482745],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.822543,"threshold_uncertainty_score":0.4364446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01724138174688187,"score_gpt":0.2192206763389405,"score_spread":0.2019792945920586,"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."}}