{"id":"W2019262827","doi":"10.2118/67184-ms","title":"A Mechanistic Model to Predict Natural Gas Separation Efficiency in Inclined Pumping Wells","year":2001,"lang":"en","type":"article","venue":"SPE Production and Operations Symposium","topic":"Fluid Dynamics and Mixing","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Intecsea (Canada)","funders":"","keywords":"Natural gas; Separation (statistics); Petroleum engineering; Environmental science; Mechanics; Geology; Engineering; Waste management; Computer science; Physics","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":[0.0006103706,0.0005276859,0.0005643296,0.000585083,0.0004865844,0.0009024389,0.001490971,0.001298223,0.001370706],"category_scores_gemma":[0.001191879,0.0005360045,0.0006554243,0.0003332254,0.0007124555,0.0014176,0.0005620763,0.0006724551,0.0002177438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00122864,"about_ca_system_score_gemma":0.00108423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005237552,"about_ca_topic_score_gemma":0.002320884,"domain_scores_codex":[0.9998103,0.00003741979,0.00001268916,0.00003843163,0.00006599254,0.00003518894],"domain_scores_gemma":[0.9996679,0.0001638268,0.00006715779,0.00002042813,0.00005896954,0.00002164687],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001042457,0.00001577811,0.000484255,0.00001139777,0.000006047585,0.00002988878,0.000007638247,0.9945793,0.001715791,0.002080356,0.00004442814,0.001014612],"study_design_scores_gemma":[0.000004062241,0.00001172723,0.0002138443,0.000001608842,0.000002742664,0.000009643927,0.000002164732,0.9984475,0.0004075551,0.0007957686,0.00009964677,0.00000375244],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4576567,0.000474405,0.5309926,0.0004153605,0.00004103176,0.0001492501,0.0005251414,0.0004870513,0.009258431],"genre_scores_gemma":[0.9864136,0.0002697204,0.01102621,0.00002992718,0.000008683373,0.000155029,0.0001492971,0.00002479714,0.001922733],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005237552,"threshold_uncertainty_score":0.01041412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007633395265053057,"score_gpt":0.2364791939691607,"score_spread":0.2288457987041077,"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."}}