{"id":"W4403341756","doi":"10.5194/egusphere-2024-2700","title":"Integrated Methane Inversion (IMI) 2.0: an improved research and stakeholder tool for monitoring total methane emissions with high resolution worldwide using TROPOMI satellite observations","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Jet Propulsion Laboratory","keywords":"Methane; Satellite; Inversion (geology); Environmental science; Methane emissions; High resolution; Remote sensing; Stakeholder; Greenhouse gas; Engineering; Geology; Chemistry; Aerospace engineering; Political science; Oceanography","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":[0.001447227,0.001115612,0.0006624834,0.001451524,0.0003625987,0.0006740717,0.001348986,0.0005499447,0.005288471],"category_scores_gemma":[0.00195372,0.0005810061,0.0009604243,0.001778489,0.0002135542,0.001116998,0.001361604,0.001162378,0.001981237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004830185,"about_ca_system_score_gemma":0.001410751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01364538,"about_ca_topic_score_gemma":0.02153007,"domain_scores_codex":[0.9996159,0.00005699322,0.00002114299,0.00008203582,0.0001739839,0.00004995293],"domain_scores_gemma":[0.9994518,0.00009546962,0.00006779688,0.0001560169,0.0001720884,0.00005686585],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002557191,0.000778429,0.06385311,0.001332537,0.001335221,0.0006404826,0.0006987688,0.177684,0.1308445,0.01308454,0.2365508,0.3706403],"study_design_scores_gemma":[0.0006294142,0.0001896083,0.03939743,0.000114828,0.0002114977,0.0001934236,0.0001274775,0.7870775,0.06012249,0.003876302,0.107769,0.0002910908],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1552647,0.0008284786,0.4359367,0.0009721465,0.0005714573,0.0006701985,0.2049242,0.1844126,0.01641951],"genre_scores_gemma":[0.2367562,0.0003234829,0.5728473,0.0002947557,0.0001246277,0.0005835134,0.1747321,0.0108364,0.003501628],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01364538,"threshold_uncertainty_score":0.02713192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1112070075732888,"score_gpt":0.309598958096939,"score_spread":0.1983919505236502,"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."}}