{"id":"W4230653089","doi":"10.32920/ryerson.14635692.v1","title":"Passively Enhanced Natural Convection Heat Transfer via Swirl Effect","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Spacecraft and Cryogenic Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Natural convection; Mechanics; Isothermal process; Heat transfer; Materials science; Convection; Convective heat transfer; Heat transfer enhancement; Flow (mathematics); Thermodynamics; Heat transfer coefficient; Physics","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":[0.0002395683,0.0004214487,0.0003705132,0.0001353529,0.000202471,0.0003773905,0.0003869213,0.0001861624,0.001233991],"category_scores_gemma":[0.0006014048,0.0001899917,0.0002974067,0.0001023175,0.0005594677,0.0006775209,0.000362889,0.000240356,0.000204269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001487925,"about_ca_system_score_gemma":0.0001438129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003235395,"about_ca_topic_score_gemma":0.000358436,"domain_scores_codex":[0.9998808,0.00002003363,0.000004673806,0.00002897885,0.00003875008,0.00002674116],"domain_scores_gemma":[0.999696,0.0001381128,0.00003772793,0.00005517318,0.00004855726,0.00002448141],"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":[0.0003101408,0.0000447742,0.0003811329,0.00008927643,0.000004809683,0.00004644662,0.00007159537,0.001349747,0.9941382,0.0002016353,0.00003495832,0.00332716],"study_design_scores_gemma":[0.00004856752,0.0006669417,0.003287011,0.000003336165,0.0000100108,0.00008474665,0.00002279816,0.0127795,0.982415,0.00008284699,0.0005897171,0.000009551408],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889225,0.0001562133,0.009372023,0.0000222925,0.0000175723,0.00002299711,0.00003331915,0.0001653652,0.001287725],"genre_scores_gemma":[0.9967676,0.00006039666,0.002426253,0.000008092953,0.000007538414,0.000007565161,0.00002273707,0.00001586819,0.0006838948],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001233991,"threshold_uncertainty_score":0.004128098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004407964245509295,"score_gpt":0.1972324035821854,"score_spread":0.1928244393366761,"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."}}