{"id":"W3157660133","doi":"10.1016/j.coastaleng.2021.103913","title":"Numerical modelling of alongshore variability in waves and wave-driven currents during the morphodynamic change of a laboratory beach","year":2021,"lang":"en","type":"article","venue":"Coastal Engineering","topic":"Coastal and Marine Dynamics","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Swash; Geology; Surf zone; Breaking wave; Storm; Wave model; Wave setup; Wave shoaling; Wave height; Beach morphodynamics; Sediment transport; Longshore drift; Wave flume; Wave tank; Mechanics; Wave propagation; Geomorphology; Meteorology; Oceanography; Physics; Sediment; Mechanical wave; Longitudinal wave","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":[0.0001717448,0.0001033489,0.0001870985,0.00004962115,0.0000239337,0.000009638125,0.00007640566,0.00003709012,0.00002875313],"category_scores_gemma":[0.00004928192,0.00008578826,0.00003401909,0.0002767286,0.00004025077,0.000115474,0.0000684855,0.0001534306,2.992016e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004482729,"about_ca_system_score_gemma":0.00002567666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009807767,"about_ca_topic_score_gemma":0.0007233156,"domain_scores_codex":[0.9992906,0.00003692388,0.0002066797,0.0001659809,0.0001268027,0.0001730181],"domain_scores_gemma":[0.9996249,0.0001062511,0.00004141117,0.000135218,0.00004167045,0.00005053947],"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":[0.00002500072,0.00003879357,0.2359428,0.0004758796,0.00001836682,0.00003158335,0.0007140057,0.7516118,0.0009812572,0.00008455469,4.175527e-7,0.01007558],"study_design_scores_gemma":[0.0001186374,0.00001545999,0.1822898,0.00005208889,0.00000523975,0.000008139207,0.00006764306,0.8171604,0.000159535,0.00003332095,0.00001585795,0.00007386958],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935104,0.0002640611,0.005793208,0.00001658464,0.00008618413,0.00009003605,0.0001458683,0.00001300246,0.00008070863],"genre_scores_gemma":[0.9989257,0.00006060983,0.000906706,0.000002906418,0.00002398656,0.000001685663,0.00006396537,0.000004328425,0.00001007947],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06554857,"threshold_uncertainty_score":0.3498344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0139373757097336,"score_gpt":0.1818709865401777,"score_spread":0.1679336108304441,"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."}}