{"id":"W1990921760","doi":"10.2514/6.2011-788","title":"Comparison of Three Evaporation Models Combined to the Distillation Curve Model for Multicomponent Fuel Droplet Evaporation","year":2011,"lang":"en","type":"article","venue":"49th AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition","topic":"Combustion and flame dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec","funders":"","keywords":"Evaporation; Distillation; Materials science; Process engineering; Thermodynamics; Environmental science; Chemistry; Chromatography; Engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009892676,0.000286991,0.000309721,0.0001271896,0.001107776,0.0001690905,0.0003696839,0.0001102291,0.000002624497],"category_scores_gemma":[0.0001054051,0.000208957,0.0000979703,0.0005408482,0.0002075358,0.0005338773,0.0001474822,0.0001826543,0.000003391594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001176436,"about_ca_system_score_gemma":0.00005234776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001631595,"about_ca_topic_score_gemma":0.001772939,"domain_scores_codex":[0.9981674,0.00006767422,0.000499787,0.0003751107,0.000460758,0.0004292699],"domain_scores_gemma":[0.998902,0.0001849111,0.000291257,0.0003229932,0.0001638283,0.0001350334],"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":[0.0001007085,0.00005169123,0.002894263,0.00004467482,0.00002078052,6.612138e-8,0.007690721,0.9547559,0.01654644,0.01525259,0.001266174,0.001375969],"study_design_scores_gemma":[0.0004730893,0.000394886,0.0007048094,0.0001197749,0.00005740829,0.000001477846,0.002097409,0.985447,0.00331002,0.007092395,0.00004041915,0.0002613444],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3515783,0.0001674026,0.6440501,0.002349331,0.0004371876,0.0009600978,0.00002493486,0.0001518937,0.0002808325],"genre_scores_gemma":[0.9795684,0.00004260198,0.020054,0.00005075621,0.00007269558,0.00007750127,0.00004520749,0.00003237073,0.00005648969],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6279901,"threshold_uncertainty_score":0.8521021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08528054039647022,"score_gpt":0.2971922426437776,"score_spread":0.2119117022473074,"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."}}