{"id":"W2133469246","doi":"10.2118/100590-ms","title":"The Tools, Techniques, and Advantages Involved in Combining Compression and Plunger Lift in Low-Rate Gas Wells","year":2006,"lang":"en","type":"article","venue":"SPE Gas Technology Symposium","topic":"Oil and Gas Production Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Optech (Canada)","funders":"","keywords":"Plunger; Lift (data mining); Gas lift; Petroleum engineering; Natural gas; Compression (physics); Geology; Computer science; Engineering; Materials science; Mechanical engineering; Waste management","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":[0.0003476978,0.0002335771,0.0002680584,0.0004560349,0.0001017581,0.0000595367,0.0001962595,0.0003305729,0.000002441256],"category_scores_gemma":[0.00001816551,0.0001966165,0.00001944179,0.0004012228,0.0003129088,0.0002003391,0.0001539288,0.0005472671,0.000003276194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005976657,"about_ca_system_score_gemma":0.000008804118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008560893,"about_ca_topic_score_gemma":0.0002261545,"domain_scores_codex":[0.9987943,0.00004263374,0.0003691445,0.0003364164,0.00008007467,0.0003774991],"domain_scores_gemma":[0.9994854,0.000069392,0.00005646978,0.0003349074,0.00002443792,0.0000294279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001462616,0.0002769226,0.1965241,0.000488496,0.00005092697,0.0002909151,0.0003429195,0.0005523294,0.5873941,0.01547912,0.00686529,0.1915886],"study_design_scores_gemma":[0.0006176794,0.0001391133,0.004106755,0.000437967,0.00001165222,0.00007791823,0.0002278299,0.000868412,0.9244155,0.03664333,0.03199204,0.000461745],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9824406,0.005006718,0.00005205322,0.00746023,0.0001776182,0.0004896986,0.000004728841,0.001767355,0.002600987],"genre_scores_gemma":[0.9900299,0.007437319,0.002119297,0.00003515898,0.00005540515,0.0001047972,0.000008140313,0.00004305361,0.0001669075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3370215,"threshold_uncertainty_score":0.8017789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003822703488690375,"score_gpt":0.2013352709257784,"score_spread":0.197512567437088,"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."}}