{"id":"W4401386871","doi":"10.1029/2023jd039906","title":"An Independent Evaluation of GHGSat Methane Emissions: Performance Assessment","year":2024,"lang":"en","type":"article","venue":"Journal of Geophysical Research Atmospheres","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Forest Service; University of British Columbia; Natural Resources Canada; University of Saskatchewan; University of Waterloo; Environment and Climate Change Canada","funders":"","keywords":"Methane; Environmental science; Plume; Methane emissions; Meteorology; Atmospheric methane; Atmospheric sciences; Terrain; Dispersion (optics); Remote sensing; Chemistry; Optics; Geology; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.007523886,0.001337163,0.0005641747,0.001220237,0.0008228442,0.001001292,0.0009959622,0.0007607736,0.001296478],"category_scores_gemma":[0.005609435,0.000277586,0.0008824638,0.001300856,0.0005987384,0.0007670873,0.000939865,0.0003682751,0.0007945517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001725708,"about_ca_system_score_gemma":0.001035876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02084934,"about_ca_topic_score_gemma":0.02280864,"domain_scores_codex":[0.9956801,0.00108083,0.0002204607,0.0008105183,0.001891686,0.0003164831],"domain_scores_gemma":[0.9923484,0.001535458,0.000585894,0.0009995364,0.004245259,0.0002854943],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.01327381,0.002935917,0.3096621,0.0005755149,0.001606628,0.0006315529,0.0007436184,0.100966,0.4038866,0.0007298004,0.00629193,0.1586967],"study_design_scores_gemma":[0.0006944197,0.006750979,0.4563518,0.00003550537,0.000536686,0.0005019283,0.0003465748,0.112861,0.4123516,0.0001944049,0.009158876,0.0002161845],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9827682,0.000159776,0.01076322,0.00005952246,0.00003347193,0.0002919434,0.002056712,0.0007557414,0.003111321],"genre_scores_gemma":[0.9805292,0.00006160162,0.01137913,0.00005155788,0.00002035309,0.0001357272,0.005742026,0.0001907541,0.001889602],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02084934,"threshold_uncertainty_score":0.04145598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04184485377613312,"score_gpt":0.3801758949473683,"score_spread":0.3383310411712351,"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."}}