{"id":"W3108825854","doi":"10.15530/urtec-2020-1417","title":"Monitoring Oil and Gas Sites for Methane Leaks Using Second Generation Satellites","year":2020,"lang":"en","type":"article","venue":"","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"GHGSat (Canada)","funders":"","keywords":"Methane; Environmental science; Methane gas; Petroleum engineering; Natural gas; Remote sensing; Fossil fuel; Computer science; Waste management; Geology; Engineering; Chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001550078,0.0002897854,0.0001707247,0.001093786,0.000371375,0.0002526423,0.0002539803,0.0004359606,0.0007007776],"category_scores_gemma":[0.0002853372,0.0001439377,0.0001643021,0.0006472098,0.0002189678,0.0004786521,0.0004039549,0.0002354818,0.0001274559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003444778,"about_ca_system_score_gemma":0.0002177289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008249871,"about_ca_topic_score_gemma":0.02363622,"domain_scores_codex":[0.9999065,0.00001220448,0.000002463322,0.00001903807,0.00003684337,0.00002293269],"domain_scores_gemma":[0.9998246,0.00003590211,0.00005097495,0.00001628028,0.00004133915,0.00003091601],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009070011,0.000176848,0.7416112,0.00009125131,0.0001494451,0.0005741684,0.000897231,0.006056901,0.2232965,0.0003057004,0.001137292,0.02479641],"study_design_scores_gemma":[0.0000596886,0.0005813777,0.9193899,0.000019926,0.0001329118,0.0004088197,0.001356176,0.02540993,0.04938539,0.0001982566,0.003030838,0.00002669862],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982417,0.00005913725,0.0003645163,0.00003114318,0.000003670782,0.000006950831,0.0002006689,0.00003807185,0.001054173],"genre_scores_gemma":[0.9986532,0.00003870811,0.0006578475,0.000008367505,0.000003856896,0.000003637454,0.0001749037,0.000004513625,0.0004549729],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008249871,"threshold_uncertainty_score":0.01640373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06012084452647234,"score_gpt":0.2616996896523195,"score_spread":0.2015788451258471,"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."}}