{"id":"W2560455777","doi":"10.1016/j.nucengdes.2016.11.026","title":"Measurement and analysis of the re-wetting front velocity during quench cooling of hot horizontal tubes","year":2016,"lang":"en","type":"article","venue":"Nuclear Engineering and Design","topic":"Nuclear Engineering Thermal-Hydraulics","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; University Network of Excellence in Nuclear Engineering","keywords":"Wetting; Materials science; Subcooling; Coolant; Mechanics; Jet (fluid); Core (optical fiber); Heat transfer; Composite material; Thermodynamics; Physics","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":[0.0002184015,0.0002305865,0.0002294279,0.0004036424,0.0003175533,0.0002754088,0.0003865416,0.0003450735,0.001092278],"category_scores_gemma":[0.0005866655,0.0001593978,0.0001416042,0.0002499083,0.0004242367,0.0002926002,0.0001627006,0.0004180014,0.0001719648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003607424,"about_ca_system_score_gemma":0.0002350441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002633388,"about_ca_topic_score_gemma":0.002231748,"domain_scores_codex":[0.9998293,0.00001304669,0.000003432842,0.00003170305,0.0000789623,0.00004355318],"domain_scores_gemma":[0.9995363,0.0001903829,0.00007541542,0.00004416117,0.0001195353,0.00003422063],"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":[0.0005545045,0.00005539769,0.004202834,0.00003307922,0.000009620828,0.000100667,0.0002414066,0.0006214628,0.9873099,0.0001272608,0.00009711541,0.006646715],"study_design_scores_gemma":[0.00001612217,0.000400715,0.0388078,0.000005171565,0.00001311691,0.00007777633,0.0001086035,0.01170586,0.9483782,0.00003722653,0.0004323981,0.00001694815],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996845,0.00005463337,0.00252032,0.00001021277,0.000007693266,0.000008950716,0.0000716905,0.00005558106,0.0004258856],"genre_scores_gemma":[0.998472,0.00002764774,0.0009554563,0.000004735591,0.000003534166,0.00000675584,0.00005863027,0.00001260858,0.0004584913],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002633388,"threshold_uncertainty_score":0.005236149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01187571399294409,"score_gpt":0.1705993779664631,"score_spread":0.158723663973519,"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."}}