{"id":"W2170536830","doi":"10.1115/1.1569508","title":"Thermobuoyancy Treatment for Electronic Packaging Using an Improved Advection Scheme","year":2003,"lang":"en","type":"article","venue":"Journal of Electronic Packaging","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Advection; Buoyancy; Mechanics; Context (archaeology); Natural convection; Term (time); Convection; Heat transfer; Work (physics); Control volume; Grid; Flow (mathematics); Meteorology; Computer science; Environmental science; Physics; Thermodynamics; Mathematics; Geology; Geometry","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004878842,0.0002703458,0.0003324222,0.0002279845,0.0001581429,0.00007716844,0.0001325198,0.0000716882,0.000009963427],"category_scores_gemma":[0.00003472797,0.0002569022,0.0002306963,0.0002437893,0.00001439083,0.0003811514,0.000006375592,0.0003398058,8.358134e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001914503,"about_ca_system_score_gemma":0.0004620354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000062196,"about_ca_topic_score_gemma":0.00005105412,"domain_scores_codex":[0.9982898,0.00004944432,0.0004975416,0.0001880617,0.0001740687,0.0008010745],"domain_scores_gemma":[0.9992776,0.00008007424,0.0001903803,0.0001679068,0.0001695244,0.0001145439],"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":[0.000077946,0.0002343002,0.000712809,0.00005645578,0.000652415,0.000007746214,0.0003279677,0.6263786,0.3340028,0.02206733,0.00001482871,0.0154668],"study_design_scores_gemma":[0.001302761,0.0005990568,0.0001431117,0.00004153998,0.00009302663,0.0002382736,0.00009121454,0.9854279,0.00304733,0.007704065,0.001030453,0.0002812527],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6535528,0.001695283,0.3441133,0.00002710104,0.0002800053,0.0001714042,0.000002903735,0.00005234293,0.0001048224],"genre_scores_gemma":[0.9943982,0.0002925476,0.004911876,0.00002192026,0.0002419925,0.000008192047,0.000008802229,0.00008156002,0.00003495732],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3590493,"threshold_uncertainty_score":0.9999883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01248011157360346,"score_gpt":0.2549095686069827,"score_spread":0.2424294570333793,"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."}}