{"id":"W4388582106","doi":"10.1016/j.oceaneng.2023.116163","title":"Experimental study of the Reynolds stress distribution and its self-similarity in a semi-confined impinging jet","year":2023,"lang":"en","type":"article","venue":"Ocean Engineering","topic":"Heat Transfer Mechanisms","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Natural Science Foundation of China; Foundation for Innovative Research Groups of the National Natural Science Foundation of China; Natural Science Foundation of Chongqing; University of Alberta","keywords":"Reynolds number; Reynolds-averaged Navier–Stokes equations; Turbulence; Reynolds stress; Mechanics; Particle image velocimetry; Jet (fluid); Dynamic similarity; Reynolds equation; Reynolds decomposition; Nozzle; Reynolds stress equation model; Shear stress; Physics; Magnetic Reynolds number; Classical mechanics; Turbulence kinetic energy; Geometry; Mathematics; Thermodynamics; K-omega turbulence model","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0002280079,0.0002182783,0.0002990772,0.0002338692,0.0004418416,0.0003433303,0.0004003602,0.0002808593,0.00198539],"category_scores_gemma":[0.0006599583,0.0001443109,0.0001645629,0.0002755438,0.0007486544,0.0004123828,0.0004578162,0.0004216091,0.0001379565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001501888,"about_ca_system_score_gemma":0.0001495894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006219124,"about_ca_topic_score_gemma":0.0003656445,"domain_scores_codex":[0.9998349,0.00001673877,0.0000101688,0.00004119169,0.00005838957,0.00003866377],"domain_scores_gemma":[0.9993004,0.0002946505,0.00008988321,0.0001005407,0.0001255621,0.0000889548],"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":[0.0006448831,0.0003331171,0.003406302,0.00005258014,0.00001243661,0.0003439787,0.0003118625,0.002506959,0.9884838,0.0003920967,0.00009773597,0.003414113],"study_design_scores_gemma":[0.0001673567,0.003944488,0.09187218,0.00001666889,0.00004238722,0.0005356704,0.0007799926,0.08564289,0.8156596,0.0004082759,0.0008420582,0.00008848497],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986088,0.00002447574,0.0008558435,0.000009676562,0.000005703447,0.000005146839,0.00004772169,0.00002408314,0.0004186383],"genre_scores_gemma":[0.9993967,0.00001756067,0.0003174059,0.000002852067,0.000004299164,0.000004384723,0.00003693806,0.000006040776,0.0002138242],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00198539,"threshold_uncertainty_score":0.006641805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009695296970739972,"score_gpt":0.2123563993110373,"score_spread":0.2026611023402973,"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."}}