{"id":"W4413043061","doi":"10.1016/j.margeo.2025.107634","title":"A numerical model for wave erosion spatial variability at a Headland-Bay scale on rock coasts: Development and testing with synthetic and measured bathymetries","year":2025,"lang":"en","type":"article","venue":"Marine Geology","topic":"Coastal and Marine Dynamics","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Prix Inspiration Arctique; Agencia Nacional de Investigación y Desarrollo; Centro Avanzado de Tecnología para la Minería","keywords":"Headland; Geology; Bay; Erosion; Scale (ratio); Geomorphology; Oceanography; Geotechnical engineering; Seismology; Shore; Cartography","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":[0.0002681741,0.0001459456,0.0002338292,0.00007075382,0.0002111008,0.00001833944,0.00005176459,0.0000641911,0.00004553279],"category_scores_gemma":[0.0002509055,0.0001060486,0.00001461596,0.0001244243,0.00008695635,0.00003145153,0.0001396013,0.00009142014,0.000001773484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001275128,"about_ca_system_score_gemma":0.00008374315,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00296746,"about_ca_topic_score_gemma":0.04613651,"domain_scores_codex":[0.9990836,0.00004447993,0.0001740596,0.0003518417,0.00009552237,0.000250458],"domain_scores_gemma":[0.9991865,0.0005249578,0.00004356569,0.0001084604,0.00005808478,0.00007842838],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007414335,0.00003044327,0.7893759,0.00006740201,0.00001330746,0.000002613686,0.00009337187,0.004429364,0.000009105584,0.00005444724,0.00001189263,0.2051707],"study_design_scores_gemma":[0.0004489089,0.0002505205,0.4334069,0.00001350563,0.00001345966,0.00002506235,0.000008144887,0.56413,0.00003047298,0.001341164,0.0002392096,0.00009262826],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9285749,0.00002282217,0.06791829,0.0004211771,0.00007100582,0.0003017761,0.00002110269,0.00003497686,0.002633917],"genre_scores_gemma":[0.9863698,0.000004798821,0.01213713,0.0001333901,0.00001331799,0.00001010364,0.00007397927,0.000002912917,0.001254604],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5597007,"threshold_uncertainty_score":0.971269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0143847614274388,"score_gpt":0.1943213895822592,"score_spread":0.1799366281548204,"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."}}