{"id":"W2632664080","doi":"10.1299/jsmeicone.2015.23._icone23-1_175","title":"ICONE23-1377 HEAT LOSS FROM RE-ENTRANT FUEL CHANNEL IN A 1200-MW_<EL> PRESSURE CHANNEL SCWR","year":2015,"lang":"en","type":"article","venue":"The Proceedings of the International Conference on Nuclear Engineering (ICONE)","topic":"Heat transfer and supercritical fluids","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Nuclear engineering; Coolant; Materials science; Supercritical fluid; Reactor pressure vessel; Tube (container); Annulus (botany); Mechanical engineering; Chemistry; Engineering; Composite material","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.000253145,0.0001768699,0.0002309062,0.0003298205,0.0002657591,0.0005179166,0.0004125153,0.0002839627,0.008458103],"category_scores_gemma":[0.0002934358,0.0001536177,0.0001957518,0.00033644,0.0002494643,0.0005005947,0.0002967711,0.0003137343,0.001396704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006436043,"about_ca_system_score_gemma":0.0004374309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001716318,"about_ca_topic_score_gemma":0.002387448,"domain_scores_codex":[0.9998298,0.0000107464,0.000003210779,0.00002790085,0.00008714126,0.00004124675],"domain_scores_gemma":[0.9998125,0.00004786175,0.00002501047,0.00002419177,0.00005626981,0.00003409875],"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":[0.003013262,0.0001912706,0.007282396,0.0002983668,0.00003347771,0.0006443196,0.0001818986,0.02526708,0.8875626,0.004501765,0.01124442,0.05977919],"study_design_scores_gemma":[0.0001502139,0.001225332,0.01872391,0.00002576935,0.00003501074,0.0004578398,0.0001141509,0.05306863,0.8929689,0.0005406631,0.03264017,0.00004938058],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9610117,0.0003944136,0.01214277,0.0001238743,0.0001108591,0.00003084734,0.0006557899,0.001357328,0.02417231],"genre_scores_gemma":[0.9789649,0.00009952568,0.002536888,0.00002483458,0.000008243516,0.00001732513,0.0003599145,0.0001787936,0.01780965],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008458103,"threshold_uncertainty_score":0.02829516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03024073767326481,"score_gpt":0.2222655590970083,"score_spread":0.1920248214237435,"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."}}