{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001295804,0.000350385,0.00034017,0.0003962128,0.0005644576,0.0004489565,0.0004328181,0.0007017533,0.002280358],"category_scores_gemma":[0.0004069713,0.0001501217,0.0004622227,0.0003543009,0.000338103,0.0005087795,0.0004400862,0.0004243999,0.000127424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005966753,"about_ca_system_score_gemma":0.000572953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01329551,"about_ca_topic_score_gemma":0.007338445,"domain_scores_codex":[0.9999254,0.00001174101,0.000003795329,0.00001316125,0.00002624693,0.00001966207],"domain_scores_gemma":[0.9998648,0.00005932924,0.00001649085,0.000009386783,0.00003408931,0.00001588062],"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":[0.00004594698,0.00002608552,0.001807175,0.00002560612,0.000007092582,0.0001206814,0.00004550719,0.9897498,0.003286435,0.001825029,0.0002542174,0.002806341],"study_design_scores_gemma":[0.000006088287,0.00001583807,0.000236677,0.000001540522,0.000001893447,0.000009034887,0.00001504354,0.9982497,0.0009308893,0.0002312235,0.0002993602,0.000002678354],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8917736,0.0002142896,0.07932118,0.0003440438,0.00009454319,0.0000805704,0.0005272477,0.0007617188,0.02688282],"genre_scores_gemma":[0.9851878,0.00009448695,0.01071569,0.00001592621,0.000005346239,0.00003957315,0.0002171535,0.00003220142,0.003691842],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01329551,"threshold_uncertainty_score":0.02643621,"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."}}