{"id":"W1484299233","doi":"10.1016/s0422-9894(03)80130-7","title":"Chapter 13 Morphodynamic modeling of tidal basins and coastal inlets","year":2003,"lang":"en","type":"book-chapter","venue":"Elsevier oceanography series","topic":"Coastal and Marine Dynamics","field":"Earth and Planetary Sciences","cited_by":49,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Delft Research Centres; Canada Excellence Research Chairs, Government of Canada","keywords":"Inlet; Geology; Forcing (mathematics); Beach morphodynamics; Oceanography; Hydrology (agriculture); Structural basin; Geomorphology; Sediment transport; Climatology; Geotechnical engineering; Sediment","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001578305,0.0005318295,0.0006387879,0.0003747269,0.0001551854,0.00006169823,0.0002118744,0.0002435992,0.001028105],"category_scores_gemma":[0.000008209342,0.0004784728,0.0002945269,0.00008843495,0.0004604899,0.0003462102,0.00008079218,0.0003627134,0.00001710684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002308253,"about_ca_system_score_gemma":0.00003893027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000922554,"about_ca_topic_score_gemma":0.01058953,"domain_scores_codex":[0.9982325,0.00002069347,0.0005234564,0.0004978215,0.0003632669,0.0003622064],"domain_scores_gemma":[0.999099,0.00003848141,0.0002371706,0.0003319788,0.0001114444,0.0001819417],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007348242,0.0000638143,0.1058673,0.001449042,0.0009349488,0.0002165869,0.0009915748,0.004304932,0.0000169939,0.04284572,0.0002506648,0.8423235],"study_design_scores_gemma":[0.001734845,0.002382021,0.01941514,0.001458742,0.0009063238,0.0008806749,0.0004878253,0.07935324,0.00001325595,0.1098289,0.7787738,0.004765214],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06718664,0.004229646,0.000124737,0.0001707837,0.0006545312,0.0004774635,0.002950067,0.00008767197,0.9241185],"genre_scores_gemma":[0.6728657,0.02043088,0.003309883,0.000582767,0.0002636118,0.000002831079,0.002257789,0.0001162886,0.3001703],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8375583,"threshold_uncertainty_score":0.9998851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009276488432379307,"score_gpt":0.1776778303699972,"score_spread":0.1684013419376179,"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."}}