{"id":"W2154679868","doi":"10.5539/enrr.v5n2p37","title":"Assessment of Trace Gas Emissions From Wild Fires in Different Vegetation Types in Northern Ghana: Implications for Global Warming","year":2015,"lang":"en","type":"article","venue":"Environment and Natural Resources Research","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"West African Science Service Centre on Climate Change and Adapted Land Use; Bundesministerium für Bildung und Forschung","keywords":"Woodland; Environmental science; Vegetation (pathology); Trace gas; Biomass (ecology); Greenhouse gas; Global warming; Methane; Climate change; Ecosystem; Carbon dioxide; Hectare; Vegetation type; Environmental protection; Atmospheric sciences; Ecology; Grassland; Biology; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006826355,0.0001226596,0.0001888929,0.00007263653,0.00008481556,0.00002371307,0.0002130436,0.0000769014,0.00002128237],"category_scores_gemma":[0.0001649648,0.00009623814,0.00003352957,0.0002001188,0.0001504363,0.0001141038,0.0002040248,0.0002203799,0.000008370173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006906081,"about_ca_system_score_gemma":0.0000144618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001931452,"about_ca_topic_score_gemma":0.00657285,"domain_scores_codex":[0.9983597,0.0002331684,0.0002585002,0.000349937,0.0004824215,0.0003162404],"domain_scores_gemma":[0.9990883,0.0005079817,0.00006598747,0.0002010535,0.00000616938,0.0001305335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003521673,0.0001184881,0.9742349,0.00001608621,0.000007370897,9.943903e-7,0.0006131605,0.0006897911,0.006246663,0.00001853707,0.00005383032,0.01796494],"study_design_scores_gemma":[0.000617745,0.0001190096,0.9821007,0.00005968299,0.000004749827,6.972246e-7,0.0002969993,0.0142932,0.0003125362,0.0007058532,0.001390103,0.00009873616],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996803,0.001405482,0.00003528034,0.0006655804,0.00002769907,0.000657228,0.00001622097,0.000006776364,0.0003827161],"genre_scores_gemma":[0.9992588,0.00008066931,0.0003615971,0.000006501516,0.00003069102,0.0001209228,0.00002110452,0.00000980238,0.0001099273],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0178662,"threshold_uncertainty_score":0.3924477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02820166470181601,"score_gpt":0.3257024174368481,"score_spread":0.2975007527350321,"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."}}