{"id":"W4411001553","doi":"10.1186/s40645-025-00711-9","title":"Long-term and interannual variations of atmospheric methane observed by the NIES and collaborative observation networks","year":2025,"lang":"en","type":"article","venue":"Progress in Earth and Planetary Science","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Environmental Restoration and Conservation Agency","keywords":"Term (time); Methane; Atmospheric methane; Environmental science; Biogeosciences; Hydrogeology; Atmospheric sciences; Methane emissions; Climatology; Earth science; Geology; Meteorology; Physical geography; Geography; Chemistry; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001387305,0.0002216716,0.0001516168,0.001003041,0.000281492,0.0004041043,0.0003796778,0.0002579019,0.0005139895],"category_scores_gemma":[0.0026629,0.00008657498,0.0002322902,0.002096009,0.0001089227,0.0005413143,0.0008712038,0.0002451394,0.0001229702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005303032,"about_ca_system_score_gemma":0.0006250624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08321086,"about_ca_topic_score_gemma":0.1257601,"domain_scores_codex":[0.9993719,0.0001291633,0.00004794791,0.0001654489,0.0001919102,0.00009361059],"domain_scores_gemma":[0.9981176,0.0003259444,0.0005372419,0.0002973685,0.000569757,0.0001522479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001194939,0.0000895124,0.9678655,0.00005111764,0.0001884251,0.00006216518,0.0003196709,0.00775252,0.002789356,0.0004491363,0.003226598,0.0170866],"study_design_scores_gemma":[0.0000131103,0.00002792533,0.9775944,0.00001673098,0.00004296378,0.00003537001,0.0004588569,0.01630783,0.001080605,0.0001487343,0.004257069,0.00001643171],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9841096,0.00009659128,0.001196588,0.0001116101,0.00001887658,0.0000210696,0.01225127,0.00004989826,0.002144542],"genre_scores_gemma":[0.983082,0.00007418525,0.00196442,0.00002142595,0.00001677597,0.00004304296,0.01428646,0.000006645964,0.0005050855],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08321086,"threshold_uncertainty_score":0.165453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006704587683812384,"score_gpt":0.211314112391082,"score_spread":0.2046095247072696,"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."}}