{"id":"W2811339020","doi":"10.1002/cjce.23377","title":"Flow, mixing, and heat transfer in fluidic oscillators","year":2018,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Heat Transfer and Boiling Studies","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mixing (physics); Fluidics; Reynolds number; Heat transfer; Mechanics; Flow (mathematics); Mechanical engineering; Work (physics); Fluid dynamics; Micromixing; Materials science; Microfluidics; Computer science; Turbulence; Physics; Engineering; Aerospace engineering; Nanotechnology","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":[0.0002600215,0.0002341548,0.0002585033,0.0002831827,0.0002841715,0.0004228284,0.0002758224,0.0003585906,0.0006935862],"category_scores_gemma":[0.0007372624,0.0001268663,0.0002383946,0.0002042074,0.0005753365,0.0004495084,0.0003301307,0.0002787141,0.00007070666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003897244,"about_ca_system_score_gemma":0.0003279349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008302891,"about_ca_topic_score_gemma":0.0004647618,"domain_scores_codex":[0.9999126,0.00002736684,0.000003645232,0.00001572047,0.00002780631,0.00001276701],"domain_scores_gemma":[0.9998099,0.0001317391,0.00002784565,0.000008997025,0.00001453597,0.000006919033],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001764334,0.0001283004,0.002589182,0.0002110709,0.00002544158,0.0001438599,0.000160073,0.7304415,0.224224,0.02439222,0.0002393993,0.01726845],"study_design_scores_gemma":[0.00003098677,0.0001387325,0.0008039039,0.000008273163,0.00001258018,0.00003122182,0.00002085108,0.9519999,0.04301486,0.002626557,0.001296831,0.00001524404],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8709664,0.0006149589,0.1227144,0.0001132867,0.00004521531,0.00005199686,0.00005020903,0.0001023257,0.005341305],"genre_scores_gemma":[0.9916232,0.0001482159,0.007407998,0.000009736751,0.000006516803,0.00002875118,0.00001839823,0.00000862199,0.0007486223],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008302891,"threshold_uncertainty_score":0.002827644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007050336307656389,"score_gpt":0.1777956728856287,"score_spread":0.1707453365779723,"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."}}