{"id":"W2527286886","doi":"10.2495/safe-v6-n2-181-192","title":"Risk analysis of global warming-induced greenhouse GAS emissions from natural sources","year":2016,"lang":"en","type":"article","venue":"International Journal of Safety and Security Engineering","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Regional Development Fund; Eesti Teadusagentuur","keywords":"Greenhouse gas; Global warming; Environmental science; Global-warming potential; Natural (archaeology); Natural gas; Greenhouse effect; Natural resource economics; Climate change; Environmental protection; Atmospheric sciences; Waste management; Geography; Economics; Engineering; Ecology; Physics; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001739862,0.0007044523,0.0003954796,0.001875527,0.0002025552,0.001065164,0.0004903823,0.0007170741,0.00287911],"category_scores_gemma":[0.004503431,0.0002076509,0.001013859,0.001093387,0.0003458783,0.0009152064,0.0008389054,0.000477799,0.0002710623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006568822,"about_ca_system_score_gemma":0.0004414688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003439403,"about_ca_topic_score_gemma":0.001865005,"domain_scores_codex":[0.9993401,0.0002654975,0.00003351324,0.00008314136,0.0001792758,0.00009847948],"domain_scores_gemma":[0.9965414,0.00212598,0.0007604309,0.00009657141,0.0003553991,0.0001201466],"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":[0.0003960459,0.0001031607,0.1633739,0.0003337494,0.0006734126,0.001292325,0.0001718614,0.7676048,0.001752221,0.02486999,0.003260077,0.03616853],"study_design_scores_gemma":[0.00003393611,0.0004185764,0.1028941,0.0001053253,0.0003597839,0.0009457842,0.0005520105,0.8531426,0.0009137981,0.03681982,0.003731036,0.00008318397],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9093219,0.004043437,0.0647851,0.001425467,0.00005611516,0.000204057,0.004273576,0.0002605535,0.01562985],"genre_scores_gemma":[0.9935894,0.000805979,0.003243063,0.00003497656,0.00003005585,0.00004633027,0.000781277,0.0000173422,0.001451534],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003439403,"threshold_uncertainty_score":0.009631574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003049850145460533,"score_gpt":0.1966351383279985,"score_spread":0.193585288182538,"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."}}