{"id":"W2315240259","doi":"10.2514/6.2009-557","title":"A Low-Order Contrail Model for Use with Global-Scale Climate Models","year":2009,"lang":"en","type":"article","venue":"47th AIAA Aerospace Sciences Meeting including The New Horizons Forum and Aerospace Exposition","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Federal Aviation Administration; National Centre for Supercomputing Applications; Transport Canada; National Science Foundation","keywords":"Scale (ratio); Computer science; Order (exchange); Environmental science; Scale model; Climatology; Meteorology; Geology; Aerospace engineering; Engineering; Geography; Business; Cartography","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":[0.000444209,0.000501928,0.0007613527,0.0003444556,0.001027714,0.001608864,0.001612409,0.002133758,0.01451229],"category_scores_gemma":[0.002034844,0.0003819449,0.0008420937,0.0005958347,0.0006523146,0.001812931,0.001293882,0.001772336,0.00141344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008144446,"about_ca_system_score_gemma":0.001198843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01062228,"about_ca_topic_score_gemma":0.009331645,"domain_scores_codex":[0.999835,0.00005524314,0.00001184072,0.00003267101,0.00004277584,0.00002250061],"domain_scores_gemma":[0.9994261,0.0002111608,0.0001052835,0.00009209848,0.00009282152,0.00007248739],"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":[0.00003602955,0.00004306414,0.000920088,0.0000246162,0.00002426995,0.0001069322,0.00004210417,0.8996748,0.0008353925,0.0921164,0.001842272,0.004334086],"study_design_scores_gemma":[0.000007761344,0.000006144643,0.0000850385,0.000001795796,0.000003699005,0.00001344278,0.0000052736,0.9894442,0.0001371352,0.009081338,0.001207304,0.000006844315],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1033162,0.0002293669,0.8262188,0.001640848,0.0004367832,0.0001507698,0.001740287,0.001560806,0.06470611],"genre_scores_gemma":[0.8725859,0.0001886278,0.09284478,0.0003488544,0.0001329875,0.0003103383,0.0009076126,0.0004559721,0.03222494],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01451229,"threshold_uncertainty_score":0.04854846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07480628087149128,"score_gpt":0.274225619049126,"score_spread":0.1994193381776347,"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."}}