{"id":"W1506954375","doi":"10.1155/2016/5903602","title":"Scaled-Down Moderator Circulation Test Facility at Korea Atomic Energy Research Institute","year":2016,"lang":"en","type":"article","venue":"Science and Technology of Nuclear Installations","topic":"Nuclear Engineering Thermal-Hydraulics","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Research Foundation of Korea; National Research Foundation","keywords":"Moderation; Computational fluid dynamics; Research reactor; Nuclear engineering; Natural circulation; Thermal hydraulics; Scaling; Atomic energy; Particle image velocimetry; Scale (ratio); Environmental science; Simulation; Mechanical engineering; Engineering; Nuclear physics; Mechanics; Aerospace engineering; Physics; Statistics; Mathematics; Turbulence; Heat transfer","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006279926,0.0002830939,0.0003022253,0.0003263293,0.0006588566,0.0002635505,0.0004556283,0.0003160432,0.003233184],"category_scores_gemma":[0.0007494158,0.0001391103,0.0003153789,0.00021415,0.0004047876,0.0004713478,0.0005271534,0.0006413439,0.0004888554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006866784,"about_ca_system_score_gemma":0.001266399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002988767,"about_ca_topic_score_gemma":0.003058749,"domain_scores_codex":[0.9996125,0.00003191244,0.00001285604,0.00006833792,0.0002147566,0.00005960959],"domain_scores_gemma":[0.9993818,0.00007968646,0.00005795384,0.0001078748,0.0002571361,0.0001156682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005185754,0.0001472831,0.009091397,0.0001338487,0.00001552897,0.0003899542,0.0002249477,0.005302939,0.9637476,0.00219692,0.00275027,0.01548076],"study_design_scores_gemma":[0.0001897071,0.002491836,0.03498637,0.00002359124,0.00004688354,0.0004636477,0.0002690277,0.03709342,0.897997,0.0005589525,0.02578789,0.0000916276],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9354621,0.0001561653,0.05220913,0.0003138227,0.0001130514,0.000441717,0.002135212,0.002191995,0.006976745],"genre_scores_gemma":[0.9609101,0.00006724124,0.03444413,0.00006467655,0.00001436127,0.000252554,0.001551553,0.0001661247,0.002529271],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003233184,"threshold_uncertainty_score":0.0108161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01828113518712332,"score_gpt":0.2386849181473851,"score_spread":0.2204037829602618,"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."}}