{"id":"W4210754905","doi":"10.1002/cjce.24378","title":"Improved thermal–hydraulic performance of a microchannel with hierarchical honeycomb porous ribs","year":2022,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Heat Transfer and Optimization","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Microchannel; Rib cage; Honeycomb; Materials science; Honeycomb structure; Heat transfer; Pressure drop; Porosity; Heat transfer enhancement; Hydraulic diameter; Composite material; Porous medium; Reynolds number; Heat transfer coefficient; Mechanics; Nanotechnology; Structural engineering; Engineering","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":[0.0001523778,0.0001161925,0.0001821675,0.0001193663,0.00006541113,0.00001857463,0.000266892,0.00003683914,0.00003039554],"category_scores_gemma":[0.0000104956,0.00009009115,0.00005447016,0.0002220779,0.00004059768,0.00007808731,0.000009050416,0.0005549568,2.680929e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001590292,"about_ca_system_score_gemma":0.0001688557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001762388,"about_ca_topic_score_gemma":0.00003568839,"domain_scores_codex":[0.999271,0.000009943779,0.0002564077,0.00005453493,0.0001492905,0.000258867],"domain_scores_gemma":[0.9995714,0.00002978166,0.00002443504,0.0001101651,0.00004436126,0.0002197848],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002487262,0.00000460601,0.00003986617,0.00004865684,0.00004861284,0.00001370332,0.0007447678,0.8085707,0.1899524,0.00002477504,0.00002159836,0.0005054616],"study_design_scores_gemma":[0.0009060713,0.0002461877,0.0002056409,0.00008096884,0.00004782703,0.000659914,0.00005324758,0.668054,0.328821,0.00001154498,0.0006158914,0.0002976477],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957667,0.000365702,0.003315191,0.0002108204,0.0001330013,0.00007174582,0.00001010386,0.00002007023,0.000106683],"genre_scores_gemma":[0.9993066,0.000004693308,0.0005197689,0.00004064296,0.0000799238,0.00000540094,0.000003005769,0.00003389428,0.000006039594],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1405166,"threshold_uncertainty_score":0.3673811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003849218891326024,"score_gpt":0.1487653370323561,"score_spread":0.14491611814103,"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."}}