{"id":"W2008183064","doi":"10.1016/j.combustflame.2008.10.022","title":"A numerical study of soot aggregate formation in a laminar coflow diffusion flame","year":2008,"lang":"en","type":"article","venue":"Combustion and Flame","topic":"Advanced Combustion Engine Technologies","field":"Chemical Engineering","cited_by":88,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada; University of Toronto","funders":"","keywords":"Soot; Coalescence (physics); Chemistry; Volume fraction; Nucleation; Pyrene; Laminar flow; Aerosol; Thermodynamics; Materials science; Combustion; Organic chemistry; Physical 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":[0.00006426518,0.0001431004,0.0002434537,0.0002043794,0.00005406617,0.000004657181,0.0001109552,0.0000971006,0.00002227737],"category_scores_gemma":[0.0001739827,0.0001385638,0.00002924269,0.0003669697,0.00006012746,0.000163145,0.0000729949,0.0002371676,0.00000896386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006162321,"about_ca_system_score_gemma":0.000006168595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001977935,"about_ca_topic_score_gemma":0.00000259799,"domain_scores_codex":[0.9991164,0.00002622019,0.0003260263,0.0001853274,0.000166676,0.000179332],"domain_scores_gemma":[0.9995374,0.00005872007,0.00009449855,0.0002129849,0.00004340153,0.0000530057],"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":[0.0008632604,0.005889456,0.03133925,0.0007255024,0.0001255565,0.0005989071,0.03194249,0.5922498,0.1965132,0.01141715,0.0007016829,0.1276338],"study_design_scores_gemma":[0.006013859,0.0007939377,0.03566757,0.0002522257,0.0000303904,0.0001797409,0.004525272,0.9285455,0.02233697,0.0006711071,0.0003913603,0.0005920059],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9373878,0.0001343662,0.06168267,0.0000738253,0.00005826316,0.0002358121,0.000001235088,0.0002723756,0.0001536468],"genre_scores_gemma":[0.9988697,0.00009257477,0.0007912585,0.00001220853,0.00001373592,0.0000356488,0.000007272643,0.00001496821,0.0001626111],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3362958,"threshold_uncertainty_score":0.5650466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01816533238373874,"score_gpt":0.2362624541033534,"score_spread":0.2180971217196146,"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."}}