{"id":"W2145977043","doi":"10.1061/(asce)0733-9429(2007)133:9(1064)","title":"Conservative Formulation for Natural Open Channels and Finite-Element Implementation","year":2007,"lang":"en","type":"article","venue":"Journal of Hydraulic Engineering","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Finite element method; Channel (broadcasting); Hydraulic jump; Shallow water equations; Dissipative system; Mathematics; Open-channel flow; Hydraulics; Boundary (topology); Applied mathematics; Flow (mathematics); Mathematical analysis; Geometry; Computer science; Engineering; Physics; Structural engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004439991,0.000099865,0.0001466476,0.0001379093,0.00003551665,0.00006614994,0.00009799397,0.00002532249,0.000003351051],"category_scores_gemma":[0.00003401135,0.00009922557,0.00004245734,0.00009726759,0.000002947586,0.0003141199,0.00002856148,0.00009782508,2.239744e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009604436,"about_ca_system_score_gemma":0.00001337381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004367346,"about_ca_topic_score_gemma":0.00001871085,"domain_scores_codex":[0.9992839,0.000002859604,0.0003853009,0.00005957842,0.0001134322,0.0001549832],"domain_scores_gemma":[0.9994909,0.0002196991,0.00008180124,0.00003806077,0.0001134983,0.00005603181],"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":[0.00002041854,0.0000070304,0.000195367,0.00005135347,0.00007800756,0.000003943955,0.0002965173,0.9823299,0.003563596,0.004324184,0.0001071906,0.009022482],"study_design_scores_gemma":[0.000804996,0.00007965302,0.007613587,0.00003608979,0.00001582774,0.000022022,0.00009304399,0.9884096,0.0009180029,0.0004539313,0.00143927,0.0001139878],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3980698,0.0001673315,0.6009706,0.00008435616,0.0004655923,0.0001921683,0.000006200087,0.00001537317,0.0000286025],"genre_scores_gemma":[0.9805352,0.00002367781,0.01920259,0.00004064207,0.0001452123,0.00000414747,0.00001977697,0.00001933849,0.000009423135],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5824654,"threshold_uncertainty_score":0.4046302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01118954297041243,"score_gpt":0.2762245829143074,"score_spread":0.265035039943895,"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."}}