{"id":"W2111721033","doi":"10.1029/2010gl043975","title":"Efficient formation of stratospheric aerosol for climate engineering by emission of condensible vapor from aircraft","year":2010,"lang":"en","type":"article","venue":"Geophysical Research Letters","topic":"Climate Change and Geoengineering","field":"Environmental Science","cited_by":163,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Dalhousie University","funders":"","keywords":"Atmospheric sciences; Aerosol; Environmental science; Astrobiology; Water vapor; Stratosphere; Meteorology; Climate change; Atmospheric chemistry; Climatology; Physics; Geology; Ozone","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":[0.0001976662,0.0002539156,0.0001956926,0.000189646,0.0001976833,0.0002909428,0.0001512188,0.0001854302,0.0008187566],"category_scores_gemma":[0.0001203523,0.0001266033,0.0002520276,0.00008539275,0.0002611061,0.0002199052,0.0003248168,0.0002332014,0.0001309586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002262265,"about_ca_system_score_gemma":0.0002071648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008909103,"about_ca_topic_score_gemma":0.00232838,"domain_scores_codex":[0.9999245,0.00001809104,0.000002694109,0.000011654,0.00002588016,0.00001710879],"domain_scores_gemma":[0.9999399,0.00001609061,0.00001413769,0.00001188706,0.000006926951,0.0000109838],"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":[0.00005460214,0.00003005956,0.001122523,0.00003478102,0.000009245694,0.00003731178,0.00001670039,0.001359705,0.9904613,0.0006435616,0.0000446996,0.006185605],"study_design_scores_gemma":[0.00002917262,0.0002431078,0.003989039,0.000002989305,0.0000169127,0.00005868439,0.0000221316,0.01035868,0.9825379,0.0003395571,0.002393013,0.000008853101],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9512398,0.001367288,0.0434086,0.0001437662,0.00004191575,0.00005630702,0.00008298544,0.0002448673,0.003414451],"genre_scores_gemma":[0.9762174,0.0004796434,0.02196964,0.00002666021,0.00001562313,0.00002096879,0.00005513676,0.00002960855,0.001185414],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008909103,"threshold_uncertainty_score":0.002739012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02021106915666623,"score_gpt":0.2734654310699248,"score_spread":0.2532543619132586,"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."}}