{"id":"W4412812392","doi":"10.5194/amt-18-3569-2025","title":"Improving consistency in methane emission quantification from the natural gas distribution systems across measurement devices","year":2025,"lang":"en","type":"article","venue":"Atmospheric measurement techniques","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Environment and Climate Change Canada","funders":"Universiteit Utrecht; Environmental Defense Fund; Politecnico di Torino","keywords":"Methane; Natural gas; Environmental science; Consistency (knowledge bases); Methane emissions; Distribution (mathematics); Chemistry; Computer science; Waste management; Engineering; Mathematics","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":[0.005672223,0.0008951664,0.0008948391,0.001704553,0.0005061745,0.001489584,0.001424826,0.001032763,0.000794496],"category_scores_gemma":[0.01134305,0.0005338437,0.0007240332,0.001480672,0.0004996284,0.001256466,0.001390335,0.0007204404,0.0005139521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005360331,"about_ca_system_score_gemma":0.0006004405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003667883,"about_ca_topic_score_gemma":0.005392546,"domain_scores_codex":[0.9947438,0.001100077,0.0003717052,0.001635133,0.001880329,0.0002688357],"domain_scores_gemma":[0.9935645,0.002004708,0.0007145045,0.00136322,0.002291059,0.00006196753],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001247512,0.0003693613,0.1627631,0.001369172,0.0007670921,0.0003196503,0.0008560069,0.02666007,0.5577288,0.001208582,0.002132911,0.2445777],"study_design_scores_gemma":[0.0000949509,0.0008755391,0.2609862,0.0001956382,0.000512752,0.0004923379,0.0006664299,0.1571443,0.566593,0.001077753,0.01115201,0.0002091109],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6194657,0.001607939,0.3719899,0.0002250095,0.000255673,0.0002435572,0.001416862,0.002259326,0.002536032],"genre_scores_gemma":[0.8978796,0.000292439,0.0992139,0.0001105315,0.00003726602,0.0002082462,0.001196489,0.0002836514,0.0007779879],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005672223,"threshold_uncertainty_score":0.02999789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01833309364991439,"score_gpt":0.2433843094002586,"score_spread":0.2250512157503442,"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."}}