{"id":"W4283067741","doi":"10.3390/atmos13060983","title":"Landfill Emissions of Methane Inferred from Unmanned Aerial Vehicle and Mobile Ground Measurements","year":2022,"lang":"en","type":"article","venue":"Atmosphere","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Environmental Protection Agency; U.S. Department of Energy","keywords":"Methane; Environmental science; Atmospheric methane; Landfill gas; Greenhouse gas; Ozone; Plume; Methane emissions; Atmospheric sciences; Environmental engineering; Meteorology; Chemistry; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001539873,0.000156905,0.0002076749,7.280217e-7,0.0001785107,0.00001003386,0.0002250503,0.00005186872,0.01104768],"category_scores_gemma":[0.00001207958,0.0001524778,0.00005474023,0.0001515974,0.0001682225,0.0001241938,0.0006543143,0.0001410501,0.00003347511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000188917,"about_ca_system_score_gemma":0.00001014735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003726891,"about_ca_topic_score_gemma":0.00006911056,"domain_scores_codex":[0.9986652,0.00009511012,0.0002336005,0.0003241156,0.0004487192,0.0002333294],"domain_scores_gemma":[0.9994453,0.00004037693,0.0001163128,0.0002659095,0.000002554159,0.00012958],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002613777,0.0005005125,0.7486782,0.000009397121,0.000107394,0.00001627232,0.002073697,0.1661264,0.058483,0.00001697085,0.001320558,0.02240624],"study_design_scores_gemma":[0.006367213,0.001436657,0.8660072,0.00003062503,0.0002584111,0.00002554422,0.007187432,0.03726826,0.004347969,0.00273769,0.07303411,0.00129891],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967844,0.0002187268,0.0002165506,0.00004158344,0.0001569446,0.0002310824,0.00002431206,0.00002962673,0.002296699],"genre_scores_gemma":[0.9931123,0.00003373879,0.00554669,0.0001232274,0.00002351884,0.00006346624,0.00002445747,0.00002376332,0.001048882],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1288581,"threshold_uncertainty_score":0.9898564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01295739775078572,"score_gpt":0.2165451267461315,"score_spread":0.2035877289953457,"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."}}