{"id":"W2586932748","doi":"10.4271/2017-01-0571","title":"Modeling n-dodecane Spray Combustion with a Representative Interactive Linear Eddy Model","year":2017,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Combustion and flame dynamics","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canada Excellence Research Chairs, Government of Canada","keywords":"Dodecane; Combustion; Large eddy simulation; Environmental science; Computer science; Process engineering; Meteorology; Physics; Engineering; Chemistry; Nuclear chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002408194,0.0007281292,0.0005548162,0.0003353201,0.0003911753,0.0006938891,0.001021675,0.001363686,0.001805362],"category_scores_gemma":[0.0005998985,0.000311852,0.0007055599,0.0003031531,0.0003751958,0.0005124274,0.0005572041,0.0007059335,0.0002685289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006440649,"about_ca_system_score_gemma":0.0007743805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02289372,"about_ca_topic_score_gemma":0.01385521,"domain_scores_codex":[0.9999155,0.00002617086,0.000005137307,0.00001836293,0.00002167349,0.00001314703],"domain_scores_gemma":[0.9997829,0.0001041112,0.00003014946,0.00001347899,0.00004287432,0.0000265561],"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":[0.00003174536,0.00003716714,0.0008744214,0.00001913137,0.00001299353,0.00004774573,0.00001550123,0.9955803,0.001422185,0.0008085715,0.0001541754,0.0009962411],"study_design_scores_gemma":[0.00000584398,0.000006472356,0.000109758,0.000001023808,0.00000140648,0.000002317914,0.000002994196,0.9995605,0.0001386971,0.00006664918,0.0001022124,0.000002088875],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7484904,0.0006833438,0.2173357,0.0005665043,0.0001208437,0.000296475,0.001852089,0.001146652,0.0295081],"genre_scores_gemma":[0.9680892,0.0002218251,0.02470959,0.00007477274,0.00002350684,0.0001942884,0.0007871855,0.0001015798,0.005797958],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02289372,"threshold_uncertainty_score":0.04552096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01683255065868874,"score_gpt":0.2701205468789757,"score_spread":0.253287996220287,"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."}}