{"id":"W2104287081","doi":"10.5194/acp-6-5247-2006","title":"Modeling of biomass smoke injection into the lower stratosphere by a large forest fire (Part I): reference simulation","year":2006,"lang":"en","type":"article","venue":"Atmospheric chemistry and physics","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":186,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tropopause; Atmospheric sciences; Convection; Environmental science; Stratosphere; Troposphere; Plume; Air mass (solar energy); Atmospheric convection; Smoke; Meteorology; Climatology; Geology; Mechanics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001096456,0.0001369268,0.0001212102,4.603986e-8,0.0001357657,0.00002432171,0.0001118187,0.00008362542,0.0002638092],"category_scores_gemma":[0.000007525554,0.0001108185,0.00003535341,0.0001751356,0.00007124698,0.0001525174,0.0000487453,0.00009786118,0.000009804337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005912999,"about_ca_system_score_gemma":0.000007699234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005612743,"about_ca_topic_score_gemma":0.0001694937,"domain_scores_codex":[0.999205,0.00002011128,0.0001887302,0.0002315636,0.0001800385,0.0001745465],"domain_scores_gemma":[0.9995957,0.00004723646,0.00008747137,0.0002229259,0.00001241409,0.00003423111],"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":[0.00004386447,0.0003499217,0.03662917,0.0001896908,0.00002371841,0.00000142025,0.0002654693,0.8856073,0.0406302,0.00002939307,0.0008441845,0.03538569],"study_design_scores_gemma":[0.0001824302,0.00003505596,0.0009090751,0.00002441386,0.00001334911,0.000001077393,0.00004871404,0.9927677,0.004002272,0.000481435,0.001402013,0.0001324632],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903641,0.0001294585,0.006441431,0.00001321245,0.0000346218,0.000115381,0.00001054714,0.00002620153,0.002865038],"genre_scores_gemma":[0.9990748,0.000007248305,0.0002748228,0.0000128819,0.00007765015,0.00001181777,0.00003573667,0.00001253094,0.0004925527],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1071604,"threshold_uncertainty_score":0.8484825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006141377238506666,"score_gpt":0.2047212768562487,"score_spread":0.1985798996177421,"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."}}