{"id":"W4311448334","doi":"10.1016/j.aeaoa.2022.100198","title":"Comparing satellite methane measurements to inventory estimates: A Canadian case study","year":2022,"lang":"en","type":"article","venue":"Atmospheric Environment X","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Imperial College London; BG Group; Shell","keywords":"Methane; Environmental science; Atmospheric methane; Satellite; Methane emissions; Greenhouse gas; Natural gas; Emission inventory; Meteorology; Atmospheric sciences; Remote sensing; Air quality index; Geology; Geography; Engineering; Chemistry; Oceanography; Waste management","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001435602,0.0004571392,0.0002791029,0.001716604,0.001352884,0.001448217,0.000952768,0.0005115855,0.001131318],"category_scores_gemma":[0.004105663,0.0002511566,0.000445612,0.005544859,0.0004715767,0.0005814401,0.0006916496,0.0004353146,0.0001607468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01807961,"about_ca_system_score_gemma":0.007591307,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9843062,"about_ca_topic_score_gemma":0.989547,"domain_scores_codex":[0.9988872,0.0001341363,0.00004708658,0.0001393334,0.0005774654,0.0002147922],"domain_scores_gemma":[0.9972497,0.0006313332,0.0001846994,0.0001541867,0.001695889,0.00008416395],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006687881,0.0002894381,0.7619613,0.0004783217,0.0003909095,0.002718865,0.002307739,0.0914089,0.00709691,0.003904669,0.006293582,0.1224806],"study_design_scores_gemma":[0.0000832107,0.0001688428,0.802393,0.0001706163,0.0003276238,0.0005761116,0.007984106,0.1590954,0.008590336,0.000685572,0.0197643,0.00016076],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9786538,0.0005170042,0.002892999,0.000287486,0.0000132739,0.0001119781,0.005374663,0.0001138599,0.01203477],"genre_scores_gemma":[0.9879498,0.0005254931,0.006931209,0.0000433768,0.000005295943,0.00002201313,0.002966685,0.00003342029,0.001522656],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01807961,"threshold_uncertainty_score":0.1311774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03264961067579049,"score_gpt":0.2308812498057611,"score_spread":0.1982316391299707,"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."}}