{"id":"W2034008471","doi":"10.1061/(asce)0733-9429(2004)130:6(511)","title":"Turbulence Structure of Hydraulic Jumps of Low Froude Numbers","year":2004,"lang":"en","type":"article","venue":"Journal of Hydraulic Engineering","topic":"Hydraulic flow and structures","field":"Engineering","cited_by":143,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"University of Alberta","keywords":"Froude number; Turbulence; Hydraulic jump; Mechanics; Turbulence kinetic energy; Reynolds number; Reynolds stress; Physics; K-epsilon turbulence model; Jump; Acoustic Doppler velocimetry; Turbulence modeling; Meteorology; Flow (mathematics); Laser Doppler velocimetry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001380375,0.0001188523,0.0001999155,0.0006445849,0.0003650085,0.0003487163,0.0001468456,0.0001998743,0.0009260472],"category_scores_gemma":[0.0005272095,0.00009280353,0.0001533116,0.0002862044,0.0005039234,0.0002202266,0.000300984,0.0003764697,0.00009647023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004511788,"about_ca_system_score_gemma":0.0001632116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001238004,"about_ca_topic_score_gemma":0.000862346,"domain_scores_codex":[0.9998705,0.000008612285,0.000005178744,0.00001476727,0.00003522809,0.00006562997],"domain_scores_gemma":[0.999624,0.00008945662,0.00005883343,0.0000193766,0.00008964177,0.0001186557],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001159609,0.0002015953,0.03454909,0.00007652899,0.00002628595,0.0008298492,0.0003561458,0.01034349,0.9390553,0.001833706,0.0004207056,0.0111477],"study_design_scores_gemma":[0.0000725653,0.0008007531,0.8253982,0.00002697897,0.00003830193,0.000469028,0.0003980219,0.06439039,0.1058298,0.001427367,0.00102798,0.000120622],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988907,0.00002864119,0.000633707,0.00001223505,0.0000027849,0.000003298365,0.00004264075,0.00002069436,0.0003653044],"genre_scores_gemma":[0.9995499,0.000007624008,0.0001728177,0.00000471378,0.000002643064,0.000003211461,0.00008939933,0.000004064563,0.0001655291],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001238004,"threshold_uncertainty_score":0.003273547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002872563863868241,"score_gpt":0.18194986272905,"score_spread":0.1790772988651817,"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."}}