{"id":"W4317923930","doi":"10.1299/jmsesdm.2022.10.c1-4","title":"An optical investigation into the reactive fuel spray of high-pressure DME and Ethanol","year":2022,"lang":"en","type":"article","venue":"The Proceedings of the International symposium on diagnostics and modeling of combustion in internal combustion engines","topic":"Advanced Combustion Engine Technologies","field":"Chemical Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Diesel fuel; Combustion; Automotive engineering; Ignition system; Homogeneous charge compression ignition; Thermal efficiency; Volatility (finance); Fuel injection; Internal combustion engine; Materials science; Lubricity; Carbureted compression ignition model engine; Diesel engine; Environmental science; Compression ratio; Diesel cycle; Combustion chamber; Chemistry; Engineering; Aerospace engineering; Composite material; Organic chemistry","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":[0.0005515501,0.000196779,0.0002508908,0.0001802543,0.0001171618,0.0000259816,0.0008634819,0.00008256188,0.000007585274],"category_scores_gemma":[0.0008371191,0.0001341742,0.00006439032,0.0002581042,0.0002759932,0.0002031366,0.0004656014,0.0006383571,1.643471e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007821607,"about_ca_system_score_gemma":0.00001695333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000192853,"about_ca_topic_score_gemma":0.000004538932,"domain_scores_codex":[0.9984497,0.00002725626,0.0005676047,0.0002475838,0.0005665189,0.0001413768],"domain_scores_gemma":[0.9983626,0.0005854959,0.0003868092,0.0001958815,0.0004318699,0.00003732595],"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":[0.0001518115,0.00008924335,0.001175423,0.00007255008,0.00005525766,2.240094e-7,0.001035162,0.8545966,0.06407667,0.07840702,0.00002616403,0.0003138346],"study_design_scores_gemma":[0.0006319674,0.0002823977,0.0009209316,0.0003784534,0.00008917646,0.00001867623,0.001468116,0.8381793,0.1271512,0.03066006,0.00004603047,0.0001737373],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9855932,0.0002118305,0.007940615,0.005383632,0.0004175667,0.0002728249,0.00002737935,0.0000536866,0.00009927341],"genre_scores_gemma":[0.9983668,0.0003857063,0.0009940189,0.00006189322,0.00005558082,0.00006684003,0.000007396788,0.00002364736,0.00003810826],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06307451,"threshold_uncertainty_score":0.5471466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01223298464315455,"score_gpt":0.2410186089740879,"score_spread":0.2287856243309334,"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."}}