{"id":"W1982863598","doi":"10.1061/(asce)0733-9429(2007)133:10(1135)","title":"Numerical and Experimental Study of Dividing Open-Channel Flows","year":2007,"lang":"en","type":"article","venue":"Journal of Hydraulic Engineering","topic":"Hydraulic flow and structures","field":"Engineering","cited_by":138,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; Manitoba Hydro","funders":"","keywords":"Open-channel flow; Turbulence; Mechanics; Flow (mathematics); Channel (broadcasting); Momentum (technical analysis); Geology; Energy–depth relationship in a rectangular channel; Flow measurement; Pipe flow; Engineering; Physics; Chézy formula; Telecommunications","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":[0.0006800824,0.0003008274,0.0005243191,0.000599078,0.0006973087,0.0005719567,0.0005302742,0.0005930598,0.001072829],"category_scores_gemma":[0.00158997,0.0001481265,0.0002376557,0.0008558212,0.001009002,0.000511635,0.0004848957,0.0005334474,0.0001136975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003946712,"about_ca_system_score_gemma":0.0004272095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001970297,"about_ca_topic_score_gemma":0.001626584,"domain_scores_codex":[0.9995461,0.00003887979,0.00004419826,0.0000951867,0.0001926986,0.00008292724],"domain_scores_gemma":[0.9985737,0.0005641672,0.0001702138,0.0002134168,0.0003255291,0.0001529566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00098672,0.002084477,0.03211395,0.0002784337,0.00004142028,0.0007548295,0.0008222485,0.4331575,0.48047,0.007494995,0.0009558251,0.04083959],"study_design_scores_gemma":[0.0001185409,0.001915622,0.01819433,0.00003043995,0.00003460637,0.0001824244,0.0004459315,0.8071786,0.1686407,0.001691309,0.001486835,0.00008067582],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923611,0.00007726156,0.004991946,0.00003454435,0.0000202893,0.00004026914,0.000155343,0.00007986584,0.002239296],"genre_scores_gemma":[0.9943235,0.00006640951,0.004998163,0.000007151246,0.000004658711,0.00003012711,0.0001545262,0.000005646828,0.0004099089],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001970297,"threshold_uncertainty_score":0.003917634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01095623438095761,"score_gpt":0.2476662721741583,"score_spread":0.2367100377932007,"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."}}