{"id":"W4230258884","doi":"10.5194/acp-2020-558","title":"Airborne measurements of fire Emission Factors for African biomass burning sampled during the MOYA Campaign","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Environment Research Council; NASA Headquarters; U.S. Geological Survey; University of Leeds; Royal Holloway, University of London; Sight Research UK; Ministry of Economy, Trade and Industry; Natural Resources Canada; UK Research and Innovation; National Aeronautics and Space Administration","keywords":"Environmental science; Combustion; Biomass (ecology); Carbon dioxide; Biomass burning; Atmospheric sciences; Methane; Nitrous oxide; Vegetation (pathology); Forestry; Animal science; Meteorology; Geography; Ecology; Chemistry; Aerosol; Biology; Physics","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":[0.0002582734,0.0004033904,0.0001603139,0.0006750855,0.0005034704,0.0003903649,0.0001430297,0.0001866932,0.00103746],"category_scores_gemma":[0.000364051,0.0001425074,0.000187393,0.0005228863,0.00009802795,0.0002220138,0.000224666,0.0002326695,0.0002314866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002857121,"about_ca_system_score_gemma":0.000148463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01216374,"about_ca_topic_score_gemma":0.03126181,"domain_scores_codex":[0.9998682,0.00001920287,0.000005045041,0.00003717468,0.00003697766,0.00003351503],"domain_scores_gemma":[0.9998728,0.00002156353,0.00002952941,0.00001312508,0.00004514083,0.00001777703],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005420605,0.0001300692,0.9073612,0.00009558058,0.0002160968,0.0002267048,0.000947288,0.001709928,0.06144563,0.000115401,0.0005939892,0.02661604],"study_design_scores_gemma":[0.000004060176,0.00004652323,0.9945347,0.00001145617,0.00001776471,0.00006152709,0.0001878892,0.0007869296,0.003594516,0.00001060184,0.0007390203,0.000004952327],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982717,0.00008022744,0.0002869153,0.000005035424,0.000003981177,0.00001400642,0.0005656677,0.00001015668,0.0007623595],"genre_scores_gemma":[0.9977289,0.0001114584,0.0008097039,0.000008524521,0.000005499479,0.00002999979,0.0009022211,0.000006666305,0.0003971748],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01216374,"threshold_uncertainty_score":0.02418584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03392505402743005,"score_gpt":0.2338436274996776,"score_spread":0.1999185734722475,"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."}}