{"id":"W1964577642","doi":"10.1115/1.2969448","title":"PIV Study of Adverse and Favorable Pressure Gradient Turbulent Flows Over Transverse Ribs","year":2008,"lang":"en","type":"article","venue":"Journal of Fluids Engineering","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Adverse pressure gradient; Pressure gradient; Turbulence; Mechanics; Particle image velocimetry; Transverse plane; Open-channel flow; Turbulence kinetic energy; Materials science; Geology; Reynolds number; Physics; Structural engineering; Engineering","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":[0.0002798978,0.0002575871,0.0003749089,0.0002477929,0.0003074182,0.0003550253,0.0001940747,0.0001833802,0.0004098071],"category_scores_gemma":[0.0006256707,0.0001911654,0.0001941522,0.0001587497,0.0005592721,0.0001980952,0.0003552547,0.0002587597,0.00008583556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001534389,"about_ca_system_score_gemma":0.0002301347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006983718,"about_ca_topic_score_gemma":0.0005385507,"domain_scores_codex":[0.9997199,0.00003344709,0.00001328005,0.00004134772,0.0001206999,0.00007131672],"domain_scores_gemma":[0.9996123,0.0001048394,0.00009241647,0.00004569205,0.00008021636,0.00006453881],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003613237,0.00004626287,0.003935096,0.00004024466,0.00000769181,0.0001950132,0.00008964829,0.004389534,0.9875788,0.0002868176,0.00002856622,0.003041037],"study_design_scores_gemma":[0.0000515976,0.001990631,0.04171636,0.00001143792,0.00003348857,0.000348595,0.0002488418,0.06903518,0.8855857,0.000192109,0.0007435233,0.00004240852],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956672,0.0000465283,0.003888485,0.000004498687,0.000005654415,0.000007322209,0.00001797938,0.00002004546,0.0003423322],"genre_scores_gemma":[0.9976308,0.00003222792,0.002135017,0.000003191377,0.000003415329,0.000004175098,0.00002041325,0.000004586742,0.0001661783],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006983718,"threshold_uncertainty_score":0.001480281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00680367049644211,"score_gpt":0.1826820763330508,"score_spread":0.1758784058366086,"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."}}