{"id":"W4229065072","doi":"10.1029/2021jd036249","title":"Contrasting Stratospheric Smoke Mass and Lifetime From 2017 Canadian and 2019/2020 Australian Megafires: Global Simulations and Satellite Observations","year":2022,"lang":"en","type":"article","venue":"Journal of Geophysical Research Atmospheres","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Los Alamos National Laboratory; Goddard Space Flight Center; National Nuclear Security Administration; National Aeronautics and Space Administration; U.S. Department of Energy","keywords":"Stratosphere; Smoke; Environmental science; Plume; Atmospheric sciences; Climatology; Volcano; Satellite; Atmospheric model; Meteorology; Geology; Geography; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004841224,0.000932771,0.0005918671,0.0004252951,0.0009353956,0.001098929,0.001381276,0.001657565,0.001682554],"category_scores_gemma":[0.0009327293,0.0004435393,0.001375761,0.0007331815,0.0007815739,0.0006241564,0.0005864506,0.00109825,0.0002262468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005316357,"about_ca_system_score_gemma":0.003688513,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7404344,"about_ca_topic_score_gemma":0.5499812,"domain_scores_codex":[0.9998566,0.00001981392,0.000005861828,0.00003583566,0.00002680775,0.00005502785],"domain_scores_gemma":[0.9997059,0.00006236495,0.00003192863,0.0000269891,0.00009446726,0.00007827496],"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":[0.0002350244,0.0001745985,0.05582594,0.00006981259,0.0002115531,0.0001572021,0.0001398005,0.936826,0.001592599,0.000960669,0.001702538,0.002104283],"study_design_scores_gemma":[0.000138275,0.0000941275,0.06340942,0.00002343778,0.0001000268,0.00002580907,0.0002058861,0.9336081,0.0008080755,0.0002753216,0.00125915,0.0000525179],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941696,0.00007302475,0.0003433516,0.0002675759,0.00001753692,0.00002084503,0.002289099,0.00007139622,0.002747667],"genre_scores_gemma":[0.9969456,0.0000690234,0.0003767376,0.00005467135,0.000008809216,0.00002072122,0.001936821,0.00001801797,0.0005696424],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2595656,"threshold_uncertainty_score":0.5221884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03839807280375469,"score_gpt":0.3018063114926463,"score_spread":0.2634082386888916,"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."}}