{"id":"W4386070951","doi":"10.11159/htff23.154","title":"Alternate Formulation for Entropy Minimization in Forced Internal Convection","year":2023,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Mechanical, Chemical, and Material Engineering","topic":"Advanced Numerical Methods in Computational Mathematics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Minification; Forced convection; Convection; Entropy (arrow of time); Computer science; Mechanics; Statistical physics; Mathematical optimization; Mathematics; Thermodynamics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001410893,0.0001481536,0.0002198106,0.0001500629,0.00002486025,0.00003763021,0.0001505742,0.00005664519,0.000004105746],"category_scores_gemma":[0.0002604847,0.0001298052,0.00004868971,0.0002872151,0.00001282826,0.0001195711,0.00006549216,0.0001001188,6.967944e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005728876,"about_ca_system_score_gemma":0.000002474891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.829019e-7,"about_ca_topic_score_gemma":2.008003e-7,"domain_scores_codex":[0.9991756,0.00000254057,0.0003397842,0.0001594384,0.000133957,0.0001886481],"domain_scores_gemma":[0.999554,0.0002046841,0.00008667466,0.00005523667,0.00005946954,0.00003989098],"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":[0.00007772359,0.00001029739,0.000008069616,0.0004712296,0.0000173996,1.246595e-7,0.00001009225,0.03269673,0.9325942,0.03335268,0.0001208941,0.0006404896],"study_design_scores_gemma":[0.000279873,0.00001490579,0.0000074768,0.0001709117,0.000007043034,0.000001201188,0.000006408676,0.4227558,0.5670835,0.009427924,0.0001637518,0.00008124173],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933449,0.000002349149,0.004084488,0.0001062188,0.001636511,0.0004566014,0.00001499701,0.0002896483,0.00006429798],"genre_scores_gemma":[0.9725898,0.00002150793,0.02703876,0.000016255,0.0001348553,0.0001002602,0.000005751519,0.00004340069,0.0000493901],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3900591,"threshold_uncertainty_score":0.5293301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01289259860475082,"score_gpt":0.2569723722504815,"score_spread":0.2440797736457307,"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."}}