{"id":"W2023356070","doi":"10.5539/mas.v3n7p32","title":"Simulation of Gravity Feed Fuel for Aeroplane","year":2009,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Advanced Combustion Engine Technologies","field":"Chemical Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Aircraft fuel system; Process (computing); Transient (computer programming); Fuel tank; Safety valve; Fuel efficiency; Fuel mass fraction; Computer science; Automotive engineering; Environmental science; Simulation; Engineering; Vapor lock; Mechanical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001247992,0.00008492217,0.0001201074,0.00009142977,0.00005357324,0.000008393652,0.0003106856,0.00004683275,0.00000277152],"category_scores_gemma":[0.0001808256,0.00008228412,0.00002260095,0.0003406751,0.0001312094,0.00009822912,0.00003317363,0.00007930556,0.000003521092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004970112,"about_ca_system_score_gemma":0.00001516726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.069762e-7,"about_ca_topic_score_gemma":1.37369e-7,"domain_scores_codex":[0.9992179,8.425317e-7,0.0001433647,0.0002230319,0.0002035339,0.000211366],"domain_scores_gemma":[0.9995105,0.00007723522,0.00005563834,0.000256187,0.00006522262,0.00003518152],"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":[0.000007039941,0.000009200071,0.00000133812,0.000005923981,4.370644e-7,4.492741e-8,0.00002732844,0.5149681,0.4667413,0.008481566,0.000001171129,0.009756582],"study_design_scores_gemma":[0.0001810726,0.00001798103,0.0001324159,0.000003771949,0.000002422534,2.015349e-7,0.00001131334,0.8090053,0.1403268,0.05020138,0.00003833202,0.00007897144],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0361123,0.00001513957,0.9624054,0.00005389969,0.00002497347,0.0001706299,0.000003621223,0.0003271642,0.0008868728],"genre_scores_gemma":[0.9640113,8.028541e-7,0.03590204,0.00002214291,0.00001094024,0.00001108564,0.000002524453,0.000005595532,0.00003359789],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9278989,"threshold_uncertainty_score":0.3355449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01732113816315501,"score_gpt":0.2681737312267383,"score_spread":0.2508525930635833,"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."}}