{"id":"W4312907674","doi":"10.52002/0130-2906-2022-10-18-32","title":"MODEL ESTIMATES FOR CONTRIBUTION OF NATURAL AND ANTHROPOGENIC CO2 AND CH4 EMISSIONS INTO THE ATMOSPHERE FROM THE TERRITORY OF RUSSIA, CHINA, CANADA, AND THE USA TO GLOBAL CLIMATE CHANGE IN THE 21ST CENTURY","year":2022,"lang":"en","type":"article","venue":"Meteorologiya i Gidrologiya","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental science; Greenhouse gas; Atmosphere (unit); Climate change; Ecosystem; Natural (archaeology); Forcing (mathematics); Climatology; Atmospheric sciences; Wetland; Global warming; Climate model; Methane; Radiative forcing; China; Environmental protection; Geography; Meteorology; Ecology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007885547,0.0001981613,0.0002853878,0.000001724065,0.000700122,0.00001672731,0.0004730473,0.00006747011,0.00004949756],"category_scores_gemma":[0.0001110232,0.00008931032,0.00005223529,0.0001388529,0.001430774,0.00007141929,0.0009128902,0.0002417555,1.848081e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001815104,"about_ca_system_score_gemma":0.00002000565,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2809085,"about_ca_topic_score_gemma":0.2195675,"domain_scores_codex":[0.9984588,0.0002927198,0.0002801405,0.00032004,0.0002831867,0.0003651037],"domain_scores_gemma":[0.9989195,0.0005379299,0.0001764788,0.0003064985,0.000003836513,0.00005574049],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005610741,0.00006286193,0.9514187,0.000007151411,0.0000420783,0.00000250117,0.003306143,0.0323869,0.0004632706,0.001521228,0.0001052962,0.01012282],"study_design_scores_gemma":[0.0007829919,0.0001900645,0.8507733,0.00000448048,0.00007961396,0.00001101261,0.002494117,0.1427511,0.00001719389,0.002252984,0.0005297021,0.0001134488],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898029,0.003824797,0.0001408307,0.004903434,0.0001084481,0.0009781909,0.0001929053,0.000006472705,0.00004203351],"genre_scores_gemma":[0.9959714,0.0009701498,0.00117423,0.001598389,0.00001797314,0.0002340383,0.00002254979,0.000007707174,0.000003494682],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1103642,"threshold_uncertainty_score":0.7946734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007020977784805562,"score_gpt":0.2237083244469048,"score_spread":0.2166873466620993,"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."}}