{"id":"W2721404393","doi":"10.1299/jsmeicone.2015.23._icone23-2_40","title":"ICONE23-2109 DESIGN AND PERFORMANCE EVALUATION OF A HEAT EXCHANGER NETWORK FOR A CO-GENERATION SMR TO VARIOUS THERMAL UTILIZATION APPLICATIONS","year":2015,"lang":"en","type":"article","venue":"The Proceedings of the International Conference on Nuclear Engineering (ICONE)","topic":"Process Optimization and Integration","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Heat exchanger; Process engineering; Nuclear engineering; Environmental science; Engineering; Mechanical engineering","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":[0.0006661681,0.0006913333,0.0005315776,0.0005614196,0.0004282041,0.0006421072,0.0008511166,0.000509992,0.003947814],"category_scores_gemma":[0.000604593,0.0002532867,0.0004578956,0.0003450441,0.0003116323,0.0003700809,0.0002858677,0.0002680478,0.0004682055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008944712,"about_ca_system_score_gemma":0.000938759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0031046,"about_ca_topic_score_gemma":0.004214629,"domain_scores_codex":[0.9996998,0.00007351546,0.00001032884,0.00005196959,0.0001236215,0.00004079735],"domain_scores_gemma":[0.9997275,0.00007598195,0.00004086908,0.00003492343,0.0000856137,0.00003512541],"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":[0.0007373786,0.0004183561,0.003017591,0.000430536,0.00005746038,0.0002514081,0.00007519289,0.8400207,0.1132138,0.001540148,0.001286832,0.03895053],"study_design_scores_gemma":[0.0001148835,0.003040448,0.004554474,0.00002411937,0.00008747116,0.00009610878,0.00006782998,0.895537,0.0907371,0.0002780523,0.005425501,0.00003691388],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9190636,0.0004627783,0.05919789,0.0001051138,0.00008799102,0.000341507,0.0003906062,0.0007648399,0.0195857],"genre_scores_gemma":[0.9834911,0.0001187524,0.01272911,0.00001205142,0.000003319402,0.0001203668,0.0001281848,0.00002600512,0.003371135],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003947814,"threshold_uncertainty_score":0.01320678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1266209401263287,"score_gpt":0.2808253523047081,"score_spread":0.1542044121783794,"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."}}