{"id":"W2085276076","doi":"10.2118/138978-ms","title":"Effluent Metering and Liquid Gas Ratio Analysis","year":2010,"lang":"en","type":"article","venue":"Canadian Unconventional Resources and International Petroleum Conference","topic":"Oil and Gas Production Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Upstream (networking); Petroleum industry; Downstream (manufacturing); Petroleum; Midstream; Natural gas; Metering mode; Fossil fuel; Engineering; Environmental science; Waste management; Business; Operations management; Telecommunications; Environmental engineering; Chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001363967,0.0001245303,0.0001338728,0.0004327588,0.00009212026,0.0001626224,0.0001312936,0.00006451512,0.0006450933],"category_scores_gemma":[0.00003157228,0.00012922,0.00005937189,0.0001063041,0.0000877284,0.0001591652,0.00002712822,0.0001932585,0.000007495777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004285244,"about_ca_system_score_gemma":0.00003747118,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003296818,"about_ca_topic_score_gemma":0.0269974,"domain_scores_codex":[0.9992827,0.00001000923,0.0001851617,0.0002158875,0.00014117,0.0001650886],"domain_scores_gemma":[0.999491,0.00001713675,0.00003115068,0.0001049582,0.0001044641,0.0002512394],"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":[0.0002873127,0.0001752119,0.196458,0.0004987163,0.009291469,0.0001748979,0.003328135,0.01619124,0.1496223,0.3760039,0.008670587,0.2392983],"study_design_scores_gemma":[0.001034036,0.0002518661,0.1472932,0.0001174605,0.0004136215,0.0002191701,0.0003752432,0.2035965,0.01360181,0.01107052,0.620692,0.001334482],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894571,0.0001940457,0.0004924558,0.001082235,0.0003771612,0.00003729965,0.00004931166,0.00007753617,0.008232842],"genre_scores_gemma":[0.9982712,0.0001634785,0.0003065651,0.00009110154,0.0001338344,0.00001747704,0.0000381395,0.00001023441,0.0009679244],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6120214,"threshold_uncertainty_score":0.9907573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00972614987226912,"score_gpt":0.2160361987126221,"score_spread":0.206310048840353,"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."}}