{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001186931,0.0002808034,0.0004201581,0.0001291821,0.0001850342,0.00006210033,0.0007066683,0.0002471507,0.0004581925],"category_scores_gemma":[0.005431612,0.000337231,0.0001230145,0.0002968633,0.000224889,0.00009533166,0.002441436,0.0009861789,0.000002730505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001069097,"about_ca_system_score_gemma":0.00008065892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001255486,"about_ca_topic_score_gemma":0.00005054999,"domain_scores_codex":[0.9976928,0.000697855,0.0005274003,0.0005249855,0.0003022016,0.0002547244],"domain_scores_gemma":[0.9936106,0.003807736,0.0003986435,0.001436941,0.0006601352,0.00008596732],"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":[0.00002770122,0.0006885074,0.002294771,0.001429347,0.0003474669,0.00001349316,0.006788661,0.5805769,0.1641533,0.2218689,0.0003702228,0.02144079],"study_design_scores_gemma":[0.0009284875,7.808122e-7,0.001651914,0.001620175,0.0001116368,0.00001407915,0.0004986769,0.5424045,0.4012713,0.04335137,0.007138858,0.001008153],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5172351,0.001943243,0.4606473,0.004799678,0.0002051474,0.0006462491,0.0003243096,0.00157216,0.01262678],"genre_scores_gemma":[0.9082434,0.0002097608,0.08983648,0.00001893951,0.000007227321,0.00004789599,0.0001057231,0.00004488423,0.001485714],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3910083,"threshold_uncertainty_score":0.999908,"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."}}