{"id":"W2329838453","doi":"10.2514/6.2010-1477","title":"Simulation of Microgravity Diffusion Flames Using Sub-Atmospheric Pressures","year":2010,"lang":"en","type":"article","venue":"48th AIAA Aerospace Sciences Meeting Including the New Horizons Forum and Aerospace Exposition","topic":"Combustion and flame dynamics","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Diffusion; Atmospheric pressure; Atmospheric model; Environmental science; Aerospace engineering; Materials science; Astrobiology; Atmospheric sciences; Mechanics; Meteorology; Physics; Thermodynamics; Engineering","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":[0.000209003,0.0006749794,0.0005527307,0.0004425286,0.000926316,0.0009112514,0.0006918517,0.0009116777,0.002489574],"category_scores_gemma":[0.0007489649,0.0004215928,0.00057049,0.000372469,0.0007464589,0.0005547104,0.0007648311,0.0006395811,0.000148083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001042849,"about_ca_system_score_gemma":0.001000076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03444143,"about_ca_topic_score_gemma":0.01776889,"domain_scores_codex":[0.9999149,0.00001510555,0.000003562918,0.00001653713,0.00001699402,0.00003288607],"domain_scores_gemma":[0.9996086,0.0001837902,0.0000459327,0.00002940629,0.00004932711,0.00008301377],"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":[0.0002419829,0.00008182792,0.002979401,0.00002907604,0.00002637364,0.0001155035,0.00008095871,0.9903089,0.00323388,0.00096184,0.0002329625,0.001707204],"study_design_scores_gemma":[0.00005340543,0.00006162212,0.001387035,0.000002895174,0.000007721154,0.00001325414,0.00004437789,0.9967122,0.001282307,0.0001973637,0.0002278063,0.00001001995],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897189,0.0001051021,0.002746558,0.0001598211,0.00004076563,0.00001906731,0.0002388428,0.0001476153,0.006823327],"genre_scores_gemma":[0.9968124,0.00005344667,0.00189963,0.00002228229,0.000007214723,0.00001012957,0.0001020636,0.00002742256,0.001065398],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03444143,"threshold_uncertainty_score":0.06848186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01247211168734062,"score_gpt":0.2542427722331584,"score_spread":0.2417706605458178,"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."}}