{"id":"W4281853998","doi":"10.3390/fluids7060195","title":"Thermohydraulic Performance of Chevron Pin-Fins","year":2022,"lang":"en","type":"article","venue":"Fluids","topic":"Heat Transfer and Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chevron (anatomy); Pressure drop; Fin; Mechanics; Materials science; Laminar flow; Reynolds number; Darcy–Weisbach equation; Porosity; Darcy number; Porous medium; Thermodynamics; Turbulence; Geology; Composite material; Physics; Nusselt number","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005316319,0.00004670032,0.00006210713,0.0000369676,0.00004030675,0.000002463127,0.00007207148,0.00001488423,0.0005501462],"category_scores_gemma":[9.813506e-7,0.00005012425,0.00002179817,0.000138136,0.000007281983,0.00004234451,0.00001048781,0.00006952299,0.00001197053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002830114,"about_ca_system_score_gemma":0.000008350946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003971663,"about_ca_topic_score_gemma":5.904463e-7,"domain_scores_codex":[0.9996741,0.000008658721,0.00008975521,0.00004840374,0.00009028037,0.00008883192],"domain_scores_gemma":[0.9998749,0.000005070893,0.000001940074,0.00009341598,0.000006991938,0.00001767233],"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":[0.00001309884,0.00003203249,0.001149549,0.0001143953,0.00002211796,0.000001311792,0.001285772,0.8202951,0.1643463,0.0002963471,0.001444451,0.01099953],"study_design_scores_gemma":[0.0004037974,0.0001820059,0.01319852,0.000009980436,0.00001315986,0.000005160625,0.00005031297,0.8738344,0.09544352,0.00001805774,0.0166577,0.0001833944],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9729617,0.0002285556,0.006080178,0.00002395782,0.0001996716,0.00006490213,0.000009379077,0.0001199374,0.02031177],"genre_scores_gemma":[0.9995496,0.00008467782,0.0001545916,0.00002588488,0.00002521016,0.00001687478,0.00001398168,0.00001492065,0.0001142755],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06890281,"threshold_uncertainty_score":0.6023715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007309750249055858,"score_gpt":0.1823598076528354,"score_spread":0.1750500574037796,"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."}}