{"id":"W2153530077","doi":"10.1115/1.2969465","title":"A Hybrid Model to Predict the Onset of Gas Entrainment With Surface Tension Effects","year":2008,"lang":"en","type":"article","venue":"Journal of Fluids Engineering","topic":"Nuclear Engineering Thermal-Hydraulics","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Froude number; Surface tension; Mechanics; Curvature; Entrainment (biomusicology); RADIUS; Sink (geography); Thermodynamics; Physics; Mathematics; Geometry; Breakup","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002669329,0.0002450442,0.0003620435,0.0001424602,0.00003379201,0.00001275085,0.000297585,0.00004779654,0.000004037855],"category_scores_gemma":[0.00006421481,0.0001775084,0.0001103995,0.0001909802,0.0000243292,0.0001342172,0.00003953187,0.0003607814,0.000004882279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001353546,"about_ca_system_score_gemma":0.00003363158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001356472,"about_ca_topic_score_gemma":1.98142e-7,"domain_scores_codex":[0.9986991,0.00001367881,0.0004176692,0.000100601,0.0004483564,0.0003205819],"domain_scores_gemma":[0.9992599,0.0001160642,0.00005904312,0.0002891149,0.00008969607,0.000186214],"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":[0.00002794999,0.00001841843,0.00004738172,0.0001089124,0.00008695206,0.0001012077,0.0003758822,0.8106017,0.1872717,0.00001507529,0.001185771,0.000159107],"study_design_scores_gemma":[0.0004988723,0.0002724324,0.001193146,0.0003189651,0.00005145246,0.0009833863,0.00001013989,0.9134421,0.08244748,0.000005344148,0.0005734127,0.0002032946],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7949936,0.0003626109,0.2040113,0.00006272589,0.0002432612,0.000152661,0.000004576868,0.0001032342,0.00006602676],"genre_scores_gemma":[0.9785917,0.0001469347,0.02101896,0.00003110073,0.00009841593,0.000002678874,5.955523e-7,0.00009678635,0.00001283521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1835981,"threshold_uncertainty_score":0.7238581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005895115373663892,"score_gpt":0.1721029836191811,"score_spread":0.1662078682455172,"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."}}