{"id":"W4293225606","doi":"10.24124/2020/59232","title":"Improved understanding of methane emissions from oil and gas industries of western Canada using aircraft and satellite data, and GEOS-Chem modeling","year":2020,"lang":"en","type":"dissertation","venue":"","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"SCIAMACHY; Greenhouse gas; Environmental science; Satellite; Methane; Fossil fuel; Estimation; Methane emissions; Emission inventory; Meteorology; Geography; Air quality index; Troposphere; Engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000286572,0.0007043928,0.0002095613,0.00108293,0.0007941006,0.0008697879,0.0005579774,0.0003248905,0.0005212324],"category_scores_gemma":[0.000460219,0.0002689207,0.0005112835,0.00183728,0.0003365066,0.0008112125,0.0004477653,0.0004453021,0.0001122852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009303106,"about_ca_system_score_gemma":0.01541461,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9825748,"about_ca_topic_score_gemma":0.9851542,"domain_scores_codex":[0.9998226,0.000007884404,0.000009034343,0.00003282714,0.00008813175,0.00003960535],"domain_scores_gemma":[0.9998497,0.00001334625,0.00001745789,0.000008502052,0.00009828089,0.00001271172],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001792792,0.0002444724,0.5519218,0.0009492684,0.0005216504,0.0005468811,0.0007401812,0.2650764,0.0267221,0.005243736,0.009905321,0.137949],"study_design_scores_gemma":[0.0000433916,0.00002584407,0.4847197,0.0001426952,0.000306413,0.00006431322,0.0008145844,0.4765033,0.00909468,0.001162455,0.02701258,0.0001099406],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9566179,0.006436776,0.009459075,0.00180339,0.0000529189,0.0000760438,0.01010083,0.0004427918,0.01501031],"genre_scores_gemma":[0.9798558,0.003630016,0.009165775,0.0001661078,0.00001635527,0.00002079693,0.005010504,0.00003925241,0.002095391],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01742524,"threshold_uncertainty_score":0.0674991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03818029080801125,"score_gpt":0.2396050829661082,"score_spread":0.201424792158097,"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."}}