{"id":"W4250009919","doi":"10.32920/ryerson.14635692","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; Heat transfer; Isothermal process; Materials science; Convection; Convective heat transfer; Flow (mathematics); Heat transfer enhancement; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00006362015,0.0004082675,0.0004689685,0.0001282288,0.00003847119,0.00008347397,0.0002386025,0.0006742352,0.0002679024],"category_scores_gemma":[0.00001934183,0.0003626466,0.0002874779,0.0001517024,0.00004671127,0.00007153511,0.0001248928,0.001057849,0.00003703913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001611458,"about_ca_system_score_gemma":0.00002336022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000653216,"about_ca_topic_score_gemma":0.0001511168,"domain_scores_codex":[0.9988649,0.00002689458,0.0002212988,0.0004004203,0.0001679348,0.0003185796],"domain_scores_gemma":[0.9994095,0.00005357416,0.00000607719,0.0004398189,0.00004803537,0.00004298285],"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":[0.00002400945,0.00001592685,0.00007435716,0.0005506668,0.0004589577,0.00002744983,0.0002225833,0.006087631,0.9588059,0.00004936709,0.0008724947,0.03281063],"study_design_scores_gemma":[0.0003397606,0.00004480951,0.0007361022,0.000104707,0.00007283266,0.00001342695,0.0001285701,0.01239516,0.9853098,0.00006814054,0.0003057978,0.0004809335],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8338222,0.002640437,0.1532297,0.0001215899,0.00355634,0.0003948142,0.000004750214,0.003534055,0.002696199],"genre_scores_gemma":[0.9984376,0.0003774673,0.0003640364,0.00002264671,0.0001133503,0.0002029153,0.00006021484,0.00005788241,0.0003638293],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1646155,"threshold_uncertainty_score":0.9998826,"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."}}