{"id":"W1995197651","doi":"10.1615/computthermalscien.v2.i1.20","title":"NUMERICAL METHOD FOR SPHERICAL BUBBLE GROWTH IN SUPERHEATED LIQUIDS","year":2010,"lang":"en","type":"article","venue":"Computational Thermal Sciences An International Journal","topic":"Fluid Dynamics and Mixing","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cégep de l'Outaouais; McMaster University","funders":"","keywords":"Superheating; Bubble; Isothermal process; Mechanics; Boiling; Nucleation; Materials science; Range (aeronautics); Benchmark (surveying); Multiphase flow; Computer simulation; Thermodynamics; Physics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0006379652,0.0001082422,0.0001118973,0.0001407852,0.000134383,0.000236879,0.0005283261,0.00005504215,0.0001787743],"category_scores_gemma":[0.00008375133,0.00009620529,0.00006943155,0.0001870218,0.00007129456,0.000505377,0.00002516292,0.0002953369,0.000006793132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006779889,"about_ca_system_score_gemma":0.00008958546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003746642,"about_ca_topic_score_gemma":0.00001322118,"domain_scores_codex":[0.998879,0.00002999264,0.0002851831,0.000165737,0.0004036716,0.0002364219],"domain_scores_gemma":[0.9993055,0.0001641937,0.0000348578,0.0000365928,0.0003367246,0.0001220575],"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":[0.00002687885,0.00006038722,0.004037555,0.000002615795,0.00002297012,0.000009733576,0.0001540425,0.9580634,0.008930661,0.02102682,0.00008981627,0.007575153],"study_design_scores_gemma":[0.0003746739,0.0000791706,0.01395507,0.000009545221,0.000002066373,0.0001016339,0.00002557751,0.9736835,0.0002534347,0.01087605,0.0005098018,0.0001294283],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5429536,0.0000178865,0.453483,0.0002874552,0.001963441,0.00006442144,0.000008452487,0.0000425889,0.001179115],"genre_scores_gemma":[0.7614418,0.00000556104,0.237893,0.000141389,0.0004771454,0.000006730098,0.00001132424,0.00001208801,0.00001098547],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2184881,"threshold_uncertainty_score":0.3923138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0152711536450487,"score_gpt":0.3127909001766868,"score_spread":0.2975197465316381,"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."}}