{"id":"W4402438674","doi":"10.11159/htff24.276","title":"Heat Transfer Rate Intensification Using Kite Vortex Generator with Punched Hole","year":2024,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Mechanical, Chemical, and Material Engineering","topic":"Heat Transfer and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universiti Teknologi Malaysia","keywords":"Kite; Vortex generator; Heat transfer; Generator (circuit theory); Vortex; Marine engineering; Environmental science; Materials science; Mechanics; Physics; Engineering; Thermodynamics; Mathematics; Geometry; Power (physics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000312999,0.0003241564,0.0003409638,0.0003512145,0.0001455058,0.0004212212,0.0003272463,0.0003165872,0.0009061564],"category_scores_gemma":[0.0004805537,0.0001843608,0.0002796113,0.0002568431,0.000266591,0.0004155433,0.000260121,0.0002256561,0.0001050769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002041192,"about_ca_system_score_gemma":0.000235619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005088421,"about_ca_topic_score_gemma":0.000771716,"domain_scores_codex":[0.999845,0.00002349266,0.00001146745,0.00002939788,0.00004680256,0.00004371837],"domain_scores_gemma":[0.9997849,0.00008181309,0.0000512107,0.00002503813,0.00003955589,0.00001744796],"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":[0.0009100839,0.0004554108,0.01484671,0.000642008,0.00005180423,0.0005814456,0.0002615953,0.2190323,0.6862888,0.002976979,0.001273372,0.07267941],"study_design_scores_gemma":[0.0001486706,0.001554561,0.007126382,0.00001636324,0.00003735317,0.0001294543,0.00008988968,0.5137988,0.4736411,0.0004855165,0.002922485,0.00004942077],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9737999,0.0001948789,0.02378443,0.0000553189,0.00004998346,0.00005758194,0.00008786379,0.0003079904,0.00166215],"genre_scores_gemma":[0.9925292,0.00004901908,0.007032107,0.000005603878,0.000002309614,0.00002210998,0.00002843318,0.000008849926,0.0003222699],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009061564,"threshold_uncertainty_score":0.003031433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008468445408873029,"score_gpt":0.1934470172439596,"score_spread":0.1849785718350866,"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."}}