{"id":"W4282970037","doi":"","title":"Simulations of ACLII signals considering soot maturity and size","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":"National Research Council Canada","funders":"","keywords":"Soot; Maturity (psychological); Computer science; Environmental science; Chemistry; Combustion","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":[0.0007002095,0.0006731036,0.0007617489,0.000859594,0.0005677227,0.001381732,0.001363075,0.003221116,0.005108104],"category_scores_gemma":[0.004593597,0.0003701049,0.0007617438,0.001012697,0.0009797413,0.0009633372,0.0006127978,0.001436423,0.0006025387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001286014,"about_ca_system_score_gemma":0.0007656931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0151556,"about_ca_topic_score_gemma":0.007028082,"domain_scores_codex":[0.9996617,0.0000578382,0.00001134066,0.0000460874,0.00007786544,0.0001452105],"domain_scores_gemma":[0.9969337,0.001925739,0.0002251933,0.0001262324,0.0004914,0.0002976946],"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":[0.0002070735,0.00006257932,0.001368084,0.00004548133,0.00001577669,0.0001561921,0.00005421069,0.9924389,0.001775662,0.001826059,0.0006976618,0.001352286],"study_design_scores_gemma":[0.00002043443,0.00004708342,0.0004852457,0.000007103165,0.000006351831,0.00001564228,0.00004611826,0.9978803,0.0009189266,0.0003778659,0.0001859463,0.000008985735],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9477524,0.000255576,0.0218833,0.001011291,0.0001985014,0.00005508812,0.00117625,0.0006427492,0.02702481],"genre_scores_gemma":[0.9966723,0.00004647273,0.000920668,0.00005951804,0.00001096027,0.00001262557,0.0001995255,0.00004243008,0.002035671],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0151556,"threshold_uncertainty_score":0.0301348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01707737307955139,"score_gpt":0.2458602771930193,"score_spread":0.2287829041134679,"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."}}