{"id":"W4385196885","doi":"10.32920/23737458.v1","title":"The effects of tube Dimples-Protrusions on the thermo-fluidic properties of turbulent forced-convection","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Heat Transfer Mechanisms","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Dimple; Turbulence; Heat transfer; Heat exchanger; Mechanics; Blank; Heat transfer enhancement; Flow (mathematics); Reynolds number; Mechanical engineering; Physics; Materials science; Engineering; Composite material","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":[0.0001808476,0.0001908932,0.000140619,0.0001401462,0.0001477903,0.0003307784,0.0001479678,0.0002354133,0.0004373936],"category_scores_gemma":[0.0006778254,0.0001416633,0.0001455979,0.0001007213,0.0003129802,0.0003341387,0.0002487366,0.0002943658,0.0001043885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001502333,"about_ca_system_score_gemma":0.00009716543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002841114,"about_ca_topic_score_gemma":0.0004572157,"domain_scores_codex":[0.999861,0.00002229908,0.000009955425,0.00002477412,0.00005776313,0.00002410037],"domain_scores_gemma":[0.9996576,0.0001355429,0.00008836513,0.00003422988,0.000051643,0.00003254063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000254625,0.00003029631,0.001266476,0.00004802346,0.000007120991,0.0001334882,0.00009280073,0.001636908,0.9917592,0.0001299965,0.00003556233,0.004605456],"study_design_scores_gemma":[0.00001079247,0.0003881295,0.0112709,0.000008432936,0.0000136511,0.00007983813,0.00007862,0.01575563,0.9719133,0.00004010594,0.0004223832,0.00001819235],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989671,0.0001349355,0.000683231,0.000009815018,0.000006089705,0.00000321239,0.00001379377,0.00001089343,0.0001710361],"genre_scores_gemma":[0.999087,0.00007296535,0.0006596001,0.000006218429,0.000002416406,0.000002667646,0.00001642337,0.000004173574,0.0001486891],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004373936,"threshold_uncertainty_score":0.001463175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03254150266433983,"score_gpt":0.2147670419157417,"score_spread":0.1822255392514019,"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."}}