{"id":"W4412609425","doi":"10.1016/j.ocemod.2025.102601","title":"Pre-trained physics-informed neural networks for one-dimensional wave propagation in coastal engineering","year":2025,"lang":"en","type":"article","venue":"Ocean Modelling","topic":"Tropical and Extratropical Cyclones Research","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Key Research and Development Program of China; Nantong Science and Technology Bureau; Ministry of Natural Resources","keywords":"Artificial neural network; Coastal engineering; Computer science; Meteorology; Statistical physics; Geology; Artificial intelligence; Physics; Oceanography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008520347,0.000108452,0.0001451186,0.00006250606,0.00009098488,0.00005394194,0.00009244136,0.00006580422,0.00002853043],"category_scores_gemma":[0.00002671401,0.00009307126,0.00005918111,0.0002162193,0.00002781949,0.0001746624,0.00001295039,0.0002034342,0.000002557033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009082477,"about_ca_system_score_gemma":0.0000473002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002909381,"about_ca_topic_score_gemma":0.0006034991,"domain_scores_codex":[0.9990191,0.00001625659,0.0002151591,0.0002036488,0.0001726827,0.0003731333],"domain_scores_gemma":[0.9995714,0.0002092601,0.00002291402,0.00007954334,0.00003891797,0.00007791095],"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":[0.0001494548,0.00001730018,0.02275177,0.00005335388,0.000007773175,0.000002047678,0.00003068455,0.9647883,0.00001514488,0.0007404189,0.00001214455,0.01143167],"study_design_scores_gemma":[0.0003832198,0.00006137209,0.03788212,0.00004022487,0.000004696772,6.002711e-7,0.000006867449,0.9601513,0.00004071716,0.001259299,0.00007035444,0.00009924558],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5957351,0.00005678619,0.4035205,0.0001413223,0.0001042884,0.0002700204,0.00001458671,0.00003286841,0.000124493],"genre_scores_gemma":[0.9936563,0.000008220553,0.005855943,0.00005927126,0.0001545658,0.000002510791,0.0001752554,0.000003698795,0.00008425962],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3979211,"threshold_uncertainty_score":0.3795336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02757360363307143,"score_gpt":0.2383431395170337,"score_spread":0.2107695358839622,"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."}}