{"id":"W1975836866","doi":"10.1016/j.apm.2009.10.010","title":"A numerical method for identifying heat transfer coefficient","year":2009,"lang":"en","type":"article","venue":"Applied Mathematical Modelling","topic":"Numerical methods in inverse problems","field":"Mathematics","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"University of Hong Kong; Northwest Normal University; Northwest University; Ryerson University; City University of Hong Kong","keywords":"Heat transfer coefficient; Heat transfer; Mathematics; Mechanics; Applied mathematics; Computer science; Materials science; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0009090608,0.0005995455,0.0007211469,0.001270043,0.0008308541,0.0008567945,0.0009936894,0.001255887,0.003625337],"category_scores_gemma":[0.003182281,0.0003782342,0.0006639937,0.0008552864,0.0009987458,0.00117713,0.0008918092,0.001336783,0.001332458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003708275,"about_ca_system_score_gemma":0.001085325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001028117,"about_ca_topic_score_gemma":0.0009195712,"domain_scores_codex":[0.9994499,0.0001178516,0.00003128506,0.0000971948,0.0002835873,0.0000201855],"domain_scores_gemma":[0.9991692,0.0003494877,0.00005250268,0.0001310664,0.0002681632,0.00002958931],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001749606,0.0001371538,0.0009928647,0.0006949399,0.00007513147,0.0001872532,0.0004174356,0.1874195,0.1498258,0.2654167,0.005150799,0.3895076],"study_design_scores_gemma":[0.00002316382,0.00007486461,0.000331556,0.00005386323,0.00003005372,0.0002539995,0.00003315131,0.932164,0.0212246,0.02610958,0.0196461,0.00005517086],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000788441,0.00006684884,0.9977686,0.00002604031,0.00006849856,0.00002676259,0.00001536556,0.0001194556,0.001120033],"genre_scores_gemma":[0.0753861,0.0002896282,0.9167807,0.00007612447,0.00008364386,0.0002948946,0.00007313352,0.0001345519,0.006881315],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003625337,"threshold_uncertainty_score":0.01212794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1616452005204033,"score_gpt":0.3963338883862563,"score_spread":0.234688687865853,"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."}}