{"id":"W3177036778","doi":"10.1126/sciadv.abf4507","title":"Satellite-based survey of extreme methane emissions in the Permian basin","year":2021,"lang":"en","type":"article","venue":"Science Advances","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":251,"is_retracted":false,"has_abstract":true,"ca_institutions":"GHGSat (Canada)","funders":"","keywords":"Methane; Permian; Satellite; Atmospheric methane; Structural basin; Environmental science; Methane emissions; Geology; Earth science; Atmospheric sciences; Greenhouse gas; Remote sensing; Paleontology; Oceanography; Ecology; Physics","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":[0.000149773,0.00007998047,0.00004862482,0.0006376043,0.0001680195,0.0001308691,0.0001471427,0.0001238647,0.001114925],"category_scores_gemma":[0.0001907384,0.000058695,0.00007196745,0.0008214031,0.0001163431,0.0001555828,0.0001964741,0.00007608746,0.0001435113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001915914,"about_ca_system_score_gemma":0.000247326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01062547,"about_ca_topic_score_gemma":0.03541524,"domain_scores_codex":[0.9999331,0.00001739904,0.000002375569,0.00001194579,0.0000233048,0.00001180078],"domain_scores_gemma":[0.9999189,0.00001352402,0.00002734783,0.000008230831,0.00001680006,0.00001523304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001513299,0.00007832269,0.9372106,0.0000475999,0.0001115913,0.000167798,0.0002839755,0.003084235,0.01558649,0.0003090705,0.0008569178,0.0421121],"study_design_scores_gemma":[0.000003952266,0.00002552294,0.9938039,0.000006044933,0.00000837294,0.00008416962,0.0002586786,0.002590308,0.001545716,0.000113703,0.001557652,0.000002111184],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957286,0.00004257233,0.0005257083,0.00003681449,0.000002091941,0.000004712963,0.001557234,0.00001993486,0.002082381],"genre_scores_gemma":[0.9976418,0.0000354115,0.0008548403,0.000007442104,0.000002480054,0.000005892603,0.0009343851,0.0000023091,0.00051541],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01062547,"threshold_uncertainty_score":0.02112728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02491063392241635,"score_gpt":0.2661396381506019,"score_spread":0.2412290042281856,"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."}}