{"id":"W3216374967","doi":"10.48550/arxiv.2111.11793","title":"Model estimates for contribution of natural and anthropogenic CO$_2$ and CH$_4$ emissions into the atmosphere from the territory of Russia, China, USA and Canada to global climate changes in the 21st century","year":2021,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Environmental science; Atmosphere (unit); Climate change; Ecosystem; Terrestrial ecosystem; Global warming; Natural (archaeology); China; Methane; Atmospheric sciences; Greenhouse effect; Environmental protection; Natural resource economics; Climatology; Geography; Ecology; Meteorology; Geology","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":[0.0004606204,0.0004972547,0.0003469725,0.0004612911,0.0003114105,0.0007198183,0.0007286737,0.0007887626,0.002011269],"category_scores_gemma":[0.0008883245,0.0002032742,0.0006125531,0.0006323623,0.000242355,0.0004575054,0.0002625015,0.0004427314,0.000200723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001781672,"about_ca_system_score_gemma":0.001676063,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1354637,"about_ca_topic_score_gemma":0.09655073,"domain_scores_codex":[0.9999139,0.0000303119,0.000004542016,0.00001964367,0.0000137395,0.00001788385],"domain_scores_gemma":[0.999613,0.0002443363,0.00002631599,0.00001256737,0.00008502005,0.00001881236],"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":[0.00001694641,0.000008136299,0.002024089,0.00001627062,0.00002194778,0.00001319519,0.000006197248,0.9957104,0.0001379532,0.0008842889,0.0003770651,0.0007835064],"study_design_scores_gemma":[0.00003546301,0.00002570326,0.004189601,0.00001380904,0.00003375843,0.00001419531,0.00003271058,0.9924683,0.0003507475,0.0018785,0.0009409722,0.00001624436],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.932896,0.0006489453,0.02404891,0.0007786713,0.0001122186,0.00005468168,0.008289556,0.0003653919,0.03280564],"genre_scores_gemma":[0.9894205,0.0002432668,0.003058371,0.00004397197,0.00001196139,0.00006911722,0.003494464,0.00004024657,0.003618105],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8645363,"threshold_uncertainty_score":0.2693505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01212771107023357,"score_gpt":0.1827195173918344,"score_spread":0.1705918063216008,"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."}}