{"id":"W2998178227","doi":"10.1007/978-3-030-34397-2_33","title":"Rivers’ Confluence Morphological Modeling Using SRH-2D","year":2020,"lang":"en","type":"book-chapter","venue":"Advances in Science, Technology & Innovation/Advances in science, technology & innovation","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Confluence; Hydraulics; Land reclamation; Sediment; Software; Sediment transport; Computer science; Environmental science; Hydrology (agriculture); Geology; Engineering; Geomorphology; Geotechnical engineering; Geography; Archaeology; Programming language","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002249965,0.0008201595,0.0008881243,0.001031339,0.0005794479,0.002055566,0.001664299,0.001159125,0.0159394],"category_scores_gemma":[0.0005798181,0.000907439,0.002026729,0.001184659,0.0003569395,0.000604518,0.0008874163,0.0007741203,0.004065901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004132956,"about_ca_system_score_gemma":0.001186463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01784733,"about_ca_topic_score_gemma":0.02971897,"domain_scores_codex":[0.9998372,0.00001586362,0.00001633229,0.00004890283,0.00005802561,0.00002372763],"domain_scores_gemma":[0.9998373,0.00004667356,0.00001749791,0.00003041164,0.00005118008,0.00001700189],"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":[0.00005373346,0.00009497205,0.00325337,0.0002345111,0.0001156254,0.000296952,0.000198213,0.8915184,0.003679939,0.005725117,0.01389165,0.08093759],"study_design_scores_gemma":[0.0000128293,0.000008547116,0.0005340631,0.00001568355,0.00001914055,0.00006145114,0.00003534599,0.9882361,0.0008962782,0.001324497,0.008825671,0.00003039973],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04874513,0.0004286744,0.8916731,0.0003831141,0.0003461091,0.0002577991,0.01152779,0.02246441,0.02417396],"genre_scores_gemma":[0.5138345,0.0009591476,0.4435769,0.0002873042,0.000127892,0.0006101797,0.01573632,0.004359384,0.02050827],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01784733,"threshold_uncertainty_score":0.05332267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02133858766248931,"score_gpt":0.289252208437963,"score_spread":0.2679136207754736,"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."}}