{"id":"W4391550984","doi":"10.1115/imece2023-112474","title":"Computational Fluid Dynamics (CFD) Modeling of Microchannel Filling Applications Utilized in Consumer Electronics Manufacturing","year":2023,"lang":"en","type":"article","venue":"","topic":"Heat Transfer and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ansys (Canada)","funders":"","keywords":"Computational fluid dynamics; Microchannel; Electronics; Fluid dynamics; Electronics cooling; Computer science; Mechanical engineering; Materials science; Engineering; Mechanics; Nanotechnology; Aerospace engineering; Electrical engineering; 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":[],"consensus_categories":[],"category_scores_codex":[0.00009146072,0.00009367595,0.0001300914,0.0001896804,0.00003283011,0.00001014009,0.0000702979,0.00006186756,0.00002066718],"category_scores_gemma":[0.000002399395,0.0001069333,0.00003508505,0.0002697995,0.000009715282,0.00006651525,0.000008774369,0.0001009849,0.00001578886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007091556,"about_ca_system_score_gemma":0.00002137511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001742957,"about_ca_topic_score_gemma":0.00007716646,"domain_scores_codex":[0.9993109,0.000007824951,0.0002732219,0.0001165532,0.00008848302,0.0002030471],"domain_scores_gemma":[0.9998003,0.00005085375,0.000005915352,0.00008163239,0.00003110869,0.00003020195],"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":[0.000002954255,0.000007724244,0.00002943909,0.00006442019,0.00001297891,2.989301e-7,0.0001091401,0.9968015,0.0006267106,0.0009031264,0.000008784601,0.001432957],"study_design_scores_gemma":[0.0002862684,0.000003239624,0.00003557411,0.00001581669,0.000006013067,9.954251e-7,0.00009543396,0.9945517,0.003839134,0.001029719,0.00003412728,0.0001019491],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1649037,0.0001306042,0.8336309,0.00002332003,0.00002650831,0.000178887,0.00001793408,0.0002463957,0.0008417577],"genre_scores_gemma":[0.9905691,0.0003683773,0.008699829,0.00001060186,0.000009173799,0.00003727318,0.0002622097,0.000025367,0.00001804021],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8256654,"threshold_uncertainty_score":0.4360614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01242166600518533,"score_gpt":0.2243982116476628,"score_spread":0.2119765456424775,"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."}}