{"id":"W1995224602","doi":"10.1139/l10-016","title":"Three-dimensional numerical study of flow structure in channel confluences","year":2010,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":122,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Confluence; Froude number; Flow (mathematics); Open-channel flow; Mechanics; Geology; Free surface; Channel (broadcasting); Flow velocity; Hydrology (agriculture); Geometry; Geotechnical engineering; Mathematics; Engineering; Physics; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003289983,0.0002405149,0.0004496068,0.0007917533,0.0005524502,0.0008564154,0.0004237226,0.0009238374,0.0009864626],"category_scores_gemma":[0.001538977,0.0002091499,0.0004181682,0.0007277386,0.0009898216,0.0004682116,0.0006363149,0.0005237031,0.00009316175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007556771,"about_ca_system_score_gemma":0.0007506268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01224673,"about_ca_topic_score_gemma":0.007118938,"domain_scores_codex":[0.9998215,0.00003401033,0.00001478274,0.00003512197,0.00004474907,0.00004996769],"domain_scores_gemma":[0.9992039,0.0004206917,0.0001021732,0.00005155649,0.0001036011,0.0001181209],"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":[0.0001200754,0.000163997,0.01698292,0.00002705727,0.00002392845,0.0002666731,0.0002137582,0.9687413,0.007162821,0.002048543,0.0002692408,0.003979789],"study_design_scores_gemma":[0.00001412495,0.00002454449,0.00285791,0.000002794864,0.000004044508,0.00001645745,0.00005339202,0.996154,0.0005284893,0.000230053,0.0001049011,0.000009190008],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9854736,0.00005821678,0.01102047,0.0001018463,0.00001536901,0.00002247627,0.0001563147,0.0001547211,0.002996815],"genre_scores_gemma":[0.9955716,0.00002506706,0.003949788,0.00001369384,0.000004215424,0.0000150136,0.00009082615,0.00000914314,0.0003205317],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01224673,"threshold_uncertainty_score":0.02435088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00497793555721376,"score_gpt":0.1795952701411311,"score_spread":0.1746173345839173,"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."}}