{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001812214,0.0001132084,0.0001763962,0.0001269116,0.00003912449,0.00002574027,0.0001144461,0.00006002859,0.00001411195],"category_scores_gemma":[0.00003388149,0.00008722297,0.00004325864,0.0001512541,0.00008108824,0.00005722794,0.000002877001,0.0002792322,0.000001831637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001026753,"about_ca_system_score_gemma":0.00006003775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003427889,"about_ca_topic_score_gemma":0.0009726962,"domain_scores_codex":[0.999357,0.000005132384,0.0002208763,0.00005567343,0.00008537991,0.0002759108],"domain_scores_gemma":[0.9996222,0.00004098286,0.00000146805,0.00006630017,0.00003208389,0.0002369228],"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":[0.00002965362,0.0000129786,0.004198418,0.0003854347,0.0003728517,0.0002287712,0.01432365,0.09030721,0.8820102,0.0006783631,0.001615663,0.005836852],"study_design_scores_gemma":[0.001542241,0.0001348347,0.002829208,0.0007409905,0.00009281197,0.0005524328,0.00009147161,0.1885444,0.7949528,0.0001805877,0.009582715,0.0007555414],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965394,0.001817114,0.0008638817,0.0002228166,0.0002865309,0.00003460211,0.000002894957,0.00001891242,0.0002139172],"genre_scores_gemma":[0.9995453,0.00002964479,0.0001224535,0.00003400216,0.0002454753,9.128813e-7,1.947525e-7,0.00002029957,0.000001689047],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09823721,"threshold_uncertainty_score":0.355685,"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."}}