{"id":"W2088519780","doi":"10.4271/2012-01-1049","title":"Transient Thermal Analysis of Diesel Fuel Systems","year":2012,"lang":"en","type":"article","venue":"SAE International Journal of Materials and Manufacturing","topic":"Advanced Combustion Engine Technologies","field":"Chemical Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Chrysler (Canada)","funders":"","keywords":"Transient (computer programming); Diesel fuel; Automotive engineering; Thermal; Transient analysis; Nuclear engineering; Environmental science; Materials science; Transient response; Engineering; Computer science; Electrical engineering; 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":[0.0002010699,0.0000916273,0.0002763399,0.0002886585,0.00001045514,0.00002018796,0.0001863399,0.000046687,0.00006808315],"category_scores_gemma":[0.00003818368,0.00007188226,0.00007852776,0.00004060146,0.00002519763,0.0002279823,0.00005007456,0.00007710493,8.561678e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003924057,"about_ca_system_score_gemma":0.000003624415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001195785,"about_ca_topic_score_gemma":4.045733e-7,"domain_scores_codex":[0.9991625,0.00001248209,0.0004181294,0.00005536851,0.0002272512,0.0001242961],"domain_scores_gemma":[0.9994892,0.00005181744,0.0002653611,0.0000701209,0.00008077353,0.00004271473],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008255657,0.00005389675,0.0003655045,0.00008017863,0.001779633,0.000009170042,0.0004158831,0.1704618,0.8226551,0.001882846,0.00001278293,0.002200718],"study_design_scores_gemma":[0.0004273512,0.00002732149,0.0353977,0.00009421958,0.0003093997,0.00004696598,0.0003251018,0.0006273347,0.9612978,0.00009044887,0.001228817,0.0001275835],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9873487,0.0005656818,0.0109212,0.0000633111,0.0009134699,0.00002817949,0.00002241681,0.00002550673,0.0001115161],"genre_scores_gemma":[0.9988366,0.0001673495,0.0007701707,0.000007253051,0.0001836275,0.000001622789,0.000003471735,0.000008812345,0.00002112373],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1698344,"threshold_uncertainty_score":0.2931274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01202247928434308,"score_gpt":0.2454968523526358,"score_spread":0.2334743730682927,"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."}}