{"id":"W3031525794","doi":"10.5194/acp-2016-359","title":"Quantifying the Loss of Processed Natural Gas Within California's South Coast Air Basin Using Long-term Measurements of Ethane and Methane","year":2016,"lang":"en","type":"article","venue":"","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Methane; Natural gas; Methane emissions; Trace gas; Atmospheric methane; Environmental science; Oil and natural gas; Environmental chemistry; Atmospheric sciences; Parts-per notation; Fossil fuel; Chemistry; Geology","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":[0.0002079803,0.0003131623,0.0001831705,0.0005958166,0.0005851776,0.0006351471,0.0003480868,0.0002709535,0.00051273],"category_scores_gemma":[0.0003627552,0.0002234317,0.0001735321,0.0006516976,0.0002528074,0.0005141221,0.0003302535,0.0003389038,0.0001404807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001170934,"about_ca_system_score_gemma":0.0007667412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2204765,"about_ca_topic_score_gemma":0.3385928,"domain_scores_codex":[0.9998529,0.000006510731,0.000006976672,0.00005794728,0.00005383661,0.00002169546],"domain_scores_gemma":[0.9996572,0.00002851827,0.00008111072,0.00002054854,0.0001637093,0.0000488334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000120996,0.00006741678,0.9710129,0.00006440308,0.0001170779,0.0001032627,0.0002053195,0.001132386,0.01629825,0.00009544045,0.001135399,0.009646994],"study_design_scores_gemma":[0.000003821312,0.00001817155,0.9954774,0.00001026511,0.00001520929,0.00001595742,0.0001482148,0.001549671,0.001659864,0.00001616371,0.001080146,0.000005154462],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966329,0.0002238834,0.0001875644,0.00004479555,0.0000068612,0.000006945793,0.001449417,0.00001861194,0.001428982],"genre_scores_gemma":[0.9969015,0.0002313541,0.0004053187,0.00002857352,0.000007851824,0.00001209644,0.001871889,0.000009465492,0.000531963],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2204765,"threshold_uncertainty_score":0.4383864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03566911836493208,"score_gpt":0.2524837948202376,"score_spread":0.2168146764553056,"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."}}