{"id":"W3088126709","doi":"","title":"Effectiveness of Leak Detection and Repair Programs in Reducing Fugitive Methane Emissions from Oil and Gas Facilities - A Large-Scale, Randomized, Field Study in Alberta, Canada","year":2019,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Fugitive emissions; Leak detection; Environmental science; Scale (ratio); Leak; Methane; Gas leak; Waste management; Petroleum engineering; Fossil fuel; Methane emissions; Engineering; Environmental engineering; Greenhouse gas; Geography; Geology; Chemistry; Cartography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.005074518,0.001237882,0.001107718,0.0007262888,0.002061959,0.001127776,0.002986622,0.001735213,0.001500326],"category_scores_gemma":[0.00747205,0.0006839043,0.001259691,0.000818291,0.002905549,0.0006929335,0.0006414121,0.001941939,0.0001303024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02560828,"about_ca_system_score_gemma":0.0301509,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8023573,"about_ca_topic_score_gemma":0.8752132,"domain_scores_codex":[0.9949208,0.002299709,0.000195438,0.0006896653,0.0009129386,0.0009815001],"domain_scores_gemma":[0.9948531,0.001776726,0.0007285187,0.0002717787,0.0009275856,0.001442332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.4709862,0.28687,0.06521582,0.001374266,0.002377094,0.000228783,0.002717452,0.01419696,0.01102764,0.0005873461,0.002848921,0.1415695],"study_design_scores_gemma":[0.06235822,0.5175625,0.3934397,0.0002066983,0.002029689,0.00006988409,0.004034419,0.01294766,0.005035646,0.0004155902,0.00166944,0.0002305489],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982061,0.0002136163,0.0002045609,0.0001036599,0.00002618816,0.0006399729,0.0001235666,0.00002208086,0.0004602682],"genre_scores_gemma":[0.9973302,0.0002283573,0.001029318,0.0001072527,0.00001869754,0.000365315,0.0001456891,0.000004743918,0.0007705306],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1976427,"threshold_uncertainty_score":0.3976132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005341440769413686,"score_gpt":0.198633372381021,"score_spread":0.1932919316116073,"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."}}