{"id":"W2046671481","doi":"10.1016/j.ijhydene.2012.03.027","title":"Thermalhydraulic analysis and heat transfer correlation for an intermediate heat exchanger linking a SuperCritical Water-cooled Reactor and a Copper-Chlorine cycle for hydrogen co-generation","year":2012,"lang":"en","type":"article","venue":"International Journal of Hydrogen Energy","topic":"Heat transfer and supercritical fluids","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada; Atomic Energy of Canada Limited; University of Ontario Institute of Technology","keywords":"Supercritical fluid; Heat exchanger; Thermodynamics; Heat transfer; Nusselt number; Heat transfer coefficient; Chemistry; Copper; Materials science; Metallurgy; Turbulence; Reynolds number","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000369084,0.0003095162,0.0003634225,0.0004969484,0.0006840599,0.0003595786,0.0005165011,0.0003032355,0.00146697],"category_scores_gemma":[0.0004729414,0.0001742046,0.0004095792,0.0003533928,0.0005646126,0.0003367274,0.0001862259,0.0005144902,0.0001586191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007488343,"about_ca_system_score_gemma":0.0007722662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006756977,"about_ca_topic_score_gemma":0.005882811,"domain_scores_codex":[0.999909,0.0000153675,0.000004406561,0.00002062168,0.00003429345,0.00001620796],"domain_scores_gemma":[0.9997419,0.0001600453,0.0000225049,0.00001635213,0.0000497975,0.000009417942],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001634283,0.0004456796,0.01781299,0.0002370579,0.00006711472,0.0002575156,0.0003554252,0.1444844,0.8062667,0.005402947,0.001077445,0.02195835],"study_design_scores_gemma":[0.00005300415,0.0007553822,0.01998761,0.000007739433,0.00006712063,0.00006360759,0.0001064499,0.5621735,0.4155275,0.0004565779,0.0007517943,0.00004970075],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911388,0.00008115996,0.007742348,0.00003356451,0.00000734826,0.00001192325,0.00008451092,0.00009699996,0.0008033863],"genre_scores_gemma":[0.9987158,0.00002113358,0.0009566073,0.000002933203,0.000001621723,0.000006411862,0.00004294423,0.000005904079,0.000246573],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006756977,"threshold_uncertainty_score":0.0134353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01917472988403749,"score_gpt":0.2627386375803864,"score_spread":0.2435639076963489,"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."}}