{"id":"W2247211393","doi":"10.1615/ichmt.2014.intsympconvheatmasstransf.650","title":"PERFORMANCE OF COLD SPRAYED NEAR-NET PYRAMIDAL SHAPED ARRAYS UNDER FORCED CONVECTION","year":2014,"lang":"en","type":"article","venue":"Proceeding of Proceedings of CONV-14: International Symposium on Convective Heat and Mass Transfer. June 8 - 13, 2014, Kusadasi, Turkey","topic":"Aerosol Filtration and Electrostatic Precipitation","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; Public Works and Government Services Canada; University of Ottawa","funders":"","keywords":"Fin; Forced convection; Reynolds number; Materials science; Mechanics; Thermal; Convection; Square (algebra); Net (polyhedron); Flow (mathematics); Base (topology); Work (physics); Annular fin; Heat transfer; Geometry; Thermodynamics; Physics; Heat transfer coefficient; Composite material; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001644012,0.0001815925,0.0003033468,0.0001325118,0.0002022482,0.0002558137,0.0002503407,0.0002555044,0.0007539302],"category_scores_gemma":[0.0004276916,0.0001261803,0.0002277406,0.00009712587,0.0002157033,0.0002751078,0.0002554907,0.0001708948,0.0001994733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002064296,"about_ca_system_score_gemma":0.0001530239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006338267,"about_ca_topic_score_gemma":0.0009969244,"domain_scores_codex":[0.9998395,0.000007452725,0.000008071777,0.00004013956,0.00007821693,0.00002654108],"domain_scores_gemma":[0.9997705,0.00005191748,0.00005244917,0.00002455778,0.00007682967,0.00002381012],"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":[0.00008211845,0.00001365246,0.0007499319,0.00003522986,0.000005076713,0.00004451336,0.00004242798,0.001277247,0.9945313,0.00003089711,0.00003228483,0.00315518],"study_design_scores_gemma":[0.00001340787,0.001073982,0.007657401,0.000005168692,0.00001214444,0.0001209151,0.00007374497,0.007713048,0.9826455,0.00002886135,0.0006376313,0.00001824952],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982151,0.0001003813,0.00117431,0.00001134303,0.0000129212,0.000005764145,0.00004129036,0.00005284861,0.000386117],"genre_scores_gemma":[0.997059,0.00008606716,0.002087665,0.000009126914,0.000003821511,0.000005410845,0.0000462352,0.00001168798,0.0006910628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007539302,"threshold_uncertainty_score":0.002522171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006737797197854137,"score_gpt":0.2090876972726259,"score_spread":0.2023499000747718,"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."}}