{"id":"W4415337961","doi":"10.31223/x5x16d","title":"Methane by the Numbers: The Need for Clear and Comparable Methane Intensity Metrics","year":2025,"lang":"","type":"article","venue":"","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"California Sea Grant, University of California, San Diego; Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Methane; Methane emissions; Intensity (physics); Natural gas; Greenhouse gas; Benchmark (surveying); Energy (signal processing); Fossil fuel","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.03397395,0.001488245,0.001807519,0.005562484,0.001160762,0.007553072,0.00329377,0.001822087,0.002161144],"category_scores_gemma":[0.1488633,0.0006231777,0.001080293,0.007251328,0.004098226,0.02219228,0.004908733,0.004747655,0.0008305099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00394235,"about_ca_system_score_gemma":0.004298537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01004241,"about_ca_topic_score_gemma":0.006162272,"domain_scores_codex":[0.9736743,0.01517812,0.002007718,0.002126369,0.00636433,0.0006492885],"domain_scores_gemma":[0.9391977,0.0254108,0.007161233,0.01236149,0.01453647,0.001332338],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003255077,0.0002063831,0.04921847,0.0009697322,0.0003722502,0.0001130201,0.001279137,0.09416563,0.002312904,0.5217694,0.02014113,0.3091264],"study_design_scores_gemma":[0.00008062549,0.0005434221,0.03711655,0.001897944,0.0001158263,0.0002058687,0.003029477,0.1249488,0.006647871,0.7148571,0.1102482,0.000308341],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"commentary","genre_scores_codex":[0.09902599,0.00869873,0.8132832,0.01926269,0.001485992,0.000671591,0.004205278,0.001267003,0.05209948],"genre_scores_gemma":[0.5430016,0.003150823,0.4444865,0.002020138,0.0004491242,0.0009992842,0.003109752,0.001045955,0.00173685],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.03397395,"threshold_uncertainty_score":0.1796736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01228595586733902,"score_gpt":0.2380996455143558,"score_spread":0.2258136896470168,"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."}}