{"id":"W3006192203","doi":"10.5194/acp-20-9525-2020","title":"Influences of hydroxyl radicals (OH) on top-down estimates of the global and regional methane budgets","year":2020,"lang":"en","type":"article","venue":"Atmospheric chemistry and physics","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Scheme for Promotion of Academic and Research Collaboration; Gordon and Betty Moore Foundation","keywords":"Methane; Hydroxyl radical; Atmospheric sciences; Radical; Inversion (geology); Environmental science; Troposphere; Methane emissions; Sink (geography); Climate change; Atmospheric chemistry; Chemistry; Climatology; Meteorology; Ozone; Geology; Physics; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003821106,0.0001415276,0.0001896037,1.583066e-8,0.00005042909,0.000005350559,0.0001691435,0.00005716102,0.0002567836],"category_scores_gemma":[0.00001739526,0.0001044572,0.00005102083,0.0001323435,0.0007780831,0.0000576132,0.0001591799,0.00008458967,0.00000299262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002959209,"about_ca_system_score_gemma":0.00000718594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001024341,"about_ca_topic_score_gemma":4.097923e-7,"domain_scores_codex":[0.9992487,0.00001325204,0.0001651899,0.000227342,0.0002184874,0.0001269749],"domain_scores_gemma":[0.9995817,0.00004991549,0.000117214,0.0001472793,0.000002339267,0.0001015871],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001855934,0.0003065418,0.6248016,0.0002789774,0.0001305131,0.000005507576,0.001032947,0.08924288,0.09500202,0.0004247434,0.0002426156,0.1883461],"study_design_scores_gemma":[0.002198008,0.0004913189,0.5958549,0.0001957841,0.000313618,0.00005713569,0.000803307,0.2281667,0.1409201,0.02334592,0.006510783,0.001142442],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967784,0.0001425755,0.0005491161,0.0003228218,0.000009780935,0.00006390279,0.000006234911,0.000008616903,0.00211855],"genre_scores_gemma":[0.9890124,0.0001163021,0.0103656,0.0003800449,0.00002675994,0.000002721693,0.00000192234,0.000006338657,0.00008788936],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1872037,"threshold_uncertainty_score":0.4259639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006451702007668247,"score_gpt":0.206247125660815,"score_spread":0.1997954236531468,"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."}}