{"id":"W4396764059","doi":"10.1016/j.nucengdes.2024.113252","title":"Study on a numerical homogenization method for printed circuit heat exchanger with hybrid mini-channels","year":2024,"lang":"en","type":"article","venue":"Nuclear Engineering and Design","topic":"Heat Transfer and Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"National Key Research and Development Program of China; China Scholarship Council; National Natural Science Foundation of China","keywords":"Homogenization (climate); Heat exchanger; Materials science; Printed circuit board; Composite material; Mechanical engineering; Structural engineering; Mechanics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003477114,0.000311466,0.0004470028,0.0002694342,0.0004004328,0.0004263298,0.0006365636,0.0006055722,0.002460965],"category_scores_gemma":[0.0006725986,0.0002320459,0.0005429265,0.0002318579,0.0004623279,0.0006464836,0.000366746,0.0004028088,0.0002652874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002243697,"about_ca_system_score_gemma":0.0004143112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001206435,"about_ca_topic_score_gemma":0.0008906454,"domain_scores_codex":[0.9997894,0.00006731164,0.000008089281,0.00003756016,0.0000796742,0.00001795576],"domain_scores_gemma":[0.9996771,0.0001689499,0.00002500577,0.00003632951,0.00008102335,0.00001162597],"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":[0.0002305202,0.0002373972,0.00221645,0.000644632,0.00009958462,0.0002723403,0.0002709186,0.7264413,0.1525882,0.03440744,0.001437731,0.08115352],"study_design_scores_gemma":[0.00001114093,0.00007089123,0.0003207226,0.000008340337,0.00001161697,0.00004134237,0.00001963303,0.9904591,0.007003216,0.0007303364,0.001314699,0.000009068861],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1103233,0.0007475615,0.8749694,0.0002042989,0.0001252528,0.0001035925,0.00003449642,0.0002665256,0.01322551],"genre_scores_gemma":[0.8547771,0.0004810434,0.1369556,0.0000807883,0.00008114311,0.0001370402,0.00005811072,0.0001419655,0.007287285],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002460965,"threshold_uncertainty_score":0.008232713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02725351110782187,"score_gpt":0.2380768450134209,"score_spread":0.210823333905599,"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."}}