{"id":"W4322486358","doi":"","title":"ALTERNATE: Experimental and modeling study of soot formation in high-pressure kerosene and SAF combustion","year":2022,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Advanced Combustion Engine Technologies","field":"Chemical Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Safran Electronics (Canada)","funders":"","keywords":"Soot; Kerosene; Combustion; Petroleum engineering; Materials science; Environmental science; Process engineering; Aerospace engineering; Nuclear engineering; Engineering; Thermodynamics; Chemistry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002354652,0.0002689871,0.0002882157,0.0002049275,0.0003460716,0.0003174271,0.000425085,0.0005230662,0.002501682],"category_scores_gemma":[0.0003468037,0.000119423,0.0003029385,0.0002546646,0.0002911007,0.0004747534,0.0002254722,0.0002788632,0.0002447613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00032236,"about_ca_system_score_gemma":0.0003336059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003726882,"about_ca_topic_score_gemma":0.003117577,"domain_scores_codex":[0.9999135,0.00000961183,0.000003708951,0.00002070175,0.00003796966,0.00001446239],"domain_scores_gemma":[0.999777,0.00008552083,0.0000264967,0.00004069197,0.00005608759,0.00001419985],"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":[0.001901277,0.0007489565,0.02245936,0.0004760282,0.00005794948,0.0004733831,0.000310612,0.1883367,0.7645541,0.003890218,0.001177683,0.0156136],"study_design_scores_gemma":[0.00005832204,0.0003701605,0.01517005,0.000007512543,0.00001759809,0.0001329153,0.0001154381,0.4842001,0.4976575,0.0009490587,0.001293795,0.00002758145],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935625,0.00005813338,0.003984275,0.00003835612,0.00001684898,0.00001218254,0.0003755373,0.00009746182,0.001854846],"genre_scores_gemma":[0.9982036,0.00002743701,0.0009495778,0.000003841049,0.000002505398,0.000005226038,0.0001241481,0.00001310787,0.0006705409],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003726882,"threshold_uncertainty_score":0.008369029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734194355247336,"score_gpt":0.2473806839309913,"score_spread":0.2300387403785179,"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."}}