{"id":"W2524325663","doi":"10.5194/acp-17-1829-2017","title":"Variability and evolution of the midlatitude stratospheric aerosol budget from 22 years of ground-based lidar and satellite observations","year":2017,"lang":"en","type":"article","venue":"Atmospheric chemistry and physics","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":94,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Institut national des sciences de l'Univers; Centre National de la Recherche Scientifique; Centre National d’Etudes Spatiales; Belgian Federal Science Policy Office; European Space Agency","keywords":"Aerosol; Lidar; Environmental science; Middle latitudes; Stratosphere; Atmospheric sciences; Microwave Limb Sounder; Satellite; Occultation; Climatology; Northern Hemisphere; Volcano; Geology; Meteorology; Remote sensing; Geography; 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":[0.0001069745,0.0001255837,0.0002084511,5.271607e-8,0.0002316392,0.00005222305,0.0001732399,0.00007770162,0.0003203734],"category_scores_gemma":[0.00004177769,0.000105213,0.00003943401,0.00009408582,0.0004702834,0.0001802124,0.00003162653,0.00009848499,0.000001531715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004830905,"about_ca_system_score_gemma":0.000068423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003442785,"about_ca_topic_score_gemma":0.00007342443,"domain_scores_codex":[0.9992671,0.00003103288,0.0002011773,0.0002326913,0.0001375739,0.0001304508],"domain_scores_gemma":[0.9990944,0.0001496411,0.0002401739,0.0004065388,0.00004607139,0.0000632295],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002664679,0.00003200393,0.9491425,0.0001074943,0.00003040478,4.226433e-7,0.0001332786,0.0004533122,0.003844965,0.00003308714,0.000006021314,0.04618986],"study_design_scores_gemma":[0.0002867967,0.00002506927,0.980509,0.00003455377,0.00004993899,7.856997e-7,0.00009377983,0.0155177,0.001636803,0.001611213,0.000117257,0.0001170495],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972486,0.0005908704,0.0004703598,0.00004095118,0.00004385611,0.00009355313,0.00009535316,0.000007618512,0.001408827],"genre_scores_gemma":[0.9918956,0.0001794963,0.007701399,0.00002200392,0.00004698204,0.000001102975,0.00002354027,0.000003789577,0.0001260622],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04607281,"threshold_uncertainty_score":0.5204484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01101586042394728,"score_gpt":0.203056952678507,"score_spread":0.1920410922545597,"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."}}