{"id":"W3110990297","doi":"","title":"Methane Fluxes in the High Northern Latitudes for 2005 - 2013 Estimated Using a Bayesian Atmospheric Inversion","year":2016,"lang":"en","type":"article","venue":"Max Planck Digital Library","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental science; Atmospheric sciences; Latitude; Climatology; High latitude; Atmospheric methane; Bayesian probability; Meteorology; Inversion (geology); Methane; Geology; Geography; Mathematics; Statistics; Greenhouse gas; Oceanography; Geodesy; Chemistry; Geomorphology","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":[0.00006384561,0.0002076903,0.0001684758,0.000003753817,0.00007984282,0.00008805647,0.0003553565,0.00008474843,0.0007773177],"category_scores_gemma":[0.0000117031,0.0001227676,0.00006288951,0.0001693539,0.0001891913,0.001615034,0.0002174397,0.00006820252,0.0002143771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001062826,"about_ca_system_score_gemma":0.0000113987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001616792,"about_ca_topic_score_gemma":0.00006209973,"domain_scores_codex":[0.9988349,0.00002816992,0.0002152391,0.0003121893,0.0002222306,0.0003872534],"domain_scores_gemma":[0.999465,0.0001312455,0.00008044636,0.0002334696,8.333967e-7,0.00008893577],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000104152,0.0001454691,0.9636098,0.00001134449,0.00001547404,0.00002568967,0.0001117751,0.01468535,0.0004810604,0.00007266658,0.003781369,0.01695581],"study_design_scores_gemma":[0.00396914,0.0005675362,0.6988242,0.0002775547,0.00007589944,0.00008345349,0.0006066333,0.1817844,0.0003924671,0.02353055,0.08808384,0.001804264],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895481,0.00005963598,0.006813237,0.0006948778,0.00007353361,0.0003696933,0.0001030762,0.00007271449,0.002265057],"genre_scores_gemma":[0.9700047,0.00002942411,0.02775977,0.0004101779,0.00004488158,0.0000226185,0.0000770863,0.00004138676,0.001609907],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2647856,"threshold_uncertainty_score":0.8511084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00954481879107428,"score_gpt":0.1918032659216143,"score_spread":0.18225844713054,"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."}}