{"id":"W1668508842","doi":"10.1002/fld.3670","title":"A computational method for geometric optimization of enhanced heat transfer devices based upon entropy generation minimization","year":2012,"lang":"en","type":"article","venue":"International Journal for Numerical Methods in Fluids","topic":"Heat Transfer and Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Nusselt number; Heat transfer; Computation; Minification; Mathematical optimization; Computational fluid dynamics; Entropy (arrow of time); Optimization problem; Computer science; Mathematics; Applied mathematics; Algorithm; Mechanics; Physics; Thermodynamics","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":[],"consensus_categories":[],"category_scores_codex":[0.001330482,0.0002066707,0.0003376307,0.0007407533,0.00007446378,0.00006377107,0.0002136798,0.0001557177,0.0001194593],"category_scores_gemma":[0.0004050234,0.0002077019,0.0002156593,0.0005533086,0.00001756258,0.0005189137,0.000006883274,0.0001549984,6.854444e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002554703,"about_ca_system_score_gemma":0.00005714751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004750905,"about_ca_topic_score_gemma":9.782708e-7,"domain_scores_codex":[0.9979848,0.0002652983,0.0008746878,0.0001821233,0.000381561,0.0003115586],"domain_scores_gemma":[0.998148,0.001003519,0.00003184284,0.00007775746,0.0006080622,0.0001307952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001564281,0.0001350986,0.000166561,0.00005145939,0.00009340189,2.066602e-7,0.0002363572,0.9478091,0.0234998,0.0006487425,0.00009022945,0.02711264],"study_design_scores_gemma":[0.00172612,0.0001150316,0.0001881689,0.00003621159,0.00005170673,0.00001000876,0.00001907323,0.9104262,0.0861804,0.0002838055,0.0007746904,0.0001885592],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002007567,0.0003089279,0.994409,0.0001894279,0.002418832,0.0004935869,0.00006913502,0.00005046406,0.00005309495],"genre_scores_gemma":[0.228234,0.00006310409,0.7707081,0.0001187885,0.0004715666,0.0001011591,0.0002565869,0.0000423911,0.000004293881],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2262264,"threshold_uncertainty_score":0.8469839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03632431741271734,"score_gpt":0.3732457895142531,"score_spread":0.3369214721015358,"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."}}