{"id":"W2996044486","doi":"","title":"Airborne vs. Inventory Measurements of Methane Emissions in the Alberta Upstream Oil and Gas Sector","year":2017,"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":"Methane emissions; Methane; Environmental science; Upstream (networking); Greenhouse gas; Fossil fuel; Oil and natural gas; Natural gas; Waste management; Geology; Chemistry; Engineering; Oceanography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007312408,0.0001690241,0.0001809182,0.000006415169,0.0001891829,0.00003312824,0.0004973985,0.00008464672,0.00003578048],"category_scores_gemma":[0.0003337566,0.0001261844,0.00004626734,0.00004394013,0.0003468683,0.0001684101,0.0002361978,0.0001823456,0.00003097193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000852333,"about_ca_system_score_gemma":0.000009001023,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06508148,"about_ca_topic_score_gemma":0.02189187,"domain_scores_codex":[0.998666,0.00007394051,0.0002941553,0.0002855729,0.000392402,0.0002878834],"domain_scores_gemma":[0.9989752,0.0001091022,0.0003011397,0.0004984584,0.000003114512,0.0001130368],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002069637,0.0001497775,0.9770564,0.00001731582,0.00001316138,0.000009389515,0.001012146,0.007567244,0.002801864,0.000003682191,0.00009620184,0.01125205],"study_design_scores_gemma":[0.000447263,0.00005378856,0.9962686,0.0001051974,0.00002766299,0.00000890001,0.0003005899,0.0005845343,0.0008725895,0.000134366,0.001020975,0.000175498],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9367678,0.00004712289,0.000001865449,0.0006517913,0.00006272376,0.00006197956,8.910032e-7,0.000007499832,0.06239837],"genre_scores_gemma":[0.9971914,0.00009669393,0.001511113,0.0001450629,0.00002184414,0.00001001496,0.000002132837,0.00001603621,0.001005743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06139262,"threshold_uncertainty_score":0.9959561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02385867331505764,"score_gpt":0.2366113343569242,"score_spread":0.2127526610418665,"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."}}