{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001381152,0.0002080023,0.00007324332,0.0002351071,0.0001359415,0.000182031,0.0003026602,0.0002690137,0.002425451],"category_scores_gemma":[0.0001652253,0.0001105827,0.0001512851,0.0001606141,0.0003228244,0.0003777495,0.000172043,0.0003751849,0.0002060163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002649404,"about_ca_system_score_gemma":0.0001383843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006133783,"about_ca_topic_score_gemma":0.0005851581,"domain_scores_codex":[0.9999244,0.000006158888,0.000001545234,0.00002012622,0.00002891235,0.00001878207],"domain_scores_gemma":[0.9999057,0.00003237549,0.00002216773,0.000008637098,0.00002207839,0.0000089963],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009793902,0.00004349198,0.0005433722,0.0001017775,0.000004160422,0.0001340069,0.00005826201,0.0001986452,0.9934569,0.0007866234,0.0001495694,0.004425215],"study_design_scores_gemma":[0.00002078353,0.0002774294,0.00763541,0.00001372547,0.00001034405,0.0003240968,0.0001193621,0.003870212,0.9840266,0.0001662211,0.00352486,0.0000111112],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9817214,0.001344689,0.00562263,0.0001706465,0.00003994779,0.00004247957,0.0001928981,0.00005933562,0.01080613],"genre_scores_gemma":[0.9916667,0.0008662029,0.003955847,0.0001292892,0.00001798884,0.00001496176,0.0001225517,0.00001957208,0.003206834],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002425451,"threshold_uncertainty_score":0.00811398,"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."}}