{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006284997,0.0002941613,0.0002808209,0.00006209837,0.001112897,0.0002337652,0.0003307626,0.0001665423,0.000008474986],"category_scores_gemma":[0.0001771274,0.0002403208,0.000103155,0.0007173087,0.0004740718,0.00051403,0.000212791,0.0003770372,0.000002238959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004797958,"about_ca_system_score_gemma":0.00004924202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000189152,"about_ca_topic_score_gemma":0.0004374034,"domain_scores_codex":[0.9983035,0.00007009952,0.000340939,0.0003667671,0.0004192802,0.0004993908],"domain_scores_gemma":[0.9989278,0.000325212,0.0002171164,0.0002941461,0.00008707551,0.0001486212],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001421202,0.00002111333,0.007875933,0.00003119071,0.00001299059,4.243807e-7,0.0005575501,0.3696819,0.6184236,0.0005230675,0.0001850148,0.002672991],"study_design_scores_gemma":[0.0003928454,0.0001530988,0.001720712,0.0001862273,0.00006082499,0.00001153819,0.001146947,0.951317,0.04369574,0.0006396188,0.000323172,0.0003522562],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9560925,0.0004369082,0.04108412,0.0006252006,0.0009953537,0.0003135114,0.000007974728,0.0002430839,0.0002012905],"genre_scores_gemma":[0.9864796,0.0001093702,0.0131176,0.00002789326,0.0001656744,0.000005760636,0.000006182619,0.00003346544,0.0000544523],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5816352,"threshold_uncertainty_score":0.9799998,"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."}}