{"id":"W2073252575","doi":"10.2118/1014-0087-jpt","title":"Legends of Artificial Lift","year":2014,"lang":"en","type":"article","venue":"Journal of Petroleum Technology","topic":"Oil and Gas Production Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"ConocoPhillips (Canada)","funders":"","keywords":"Artificial lift; Lift (data mining); Artificial intelligence; Operations research; Computer science; Engineering","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001049167,0.001900032,0.0007823182,0.002286251,0.005033911,0.006498639,0.001416923,0.002774673,0.3847172],"category_scores_gemma":[0.007153852,0.0005688646,0.0009212396,0.001868737,0.001537772,0.004120832,0.00399033,0.004600095,0.2016486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002024704,"about_ca_system_score_gemma":0.002069251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004702635,"about_ca_topic_score_gemma":0.008956102,"domain_scores_codex":[0.9981414,0.0002531075,0.00009808286,0.0002162544,0.0009679175,0.0003232454],"domain_scores_gemma":[0.9958326,0.0004766051,0.0002300387,0.0003522683,0.0022329,0.0008756254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004691075,0.000007888637,0.00006834749,0.00004434581,0.000001004207,0.00007062307,0.00005377416,0.00002905489,0.0002288159,0.002435461,0.9835867,0.013427],"study_design_scores_gemma":[0.000003500254,0.00001180731,0.0001167095,0.00002910816,8.41229e-7,0.0001048253,0.00008303342,0.00004467896,0.00008748424,0.0004135895,0.9990978,0.000006664923],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.001900546,0.003342428,0.004895104,0.0268532,0.1853763,0.0002240108,0.003049137,0.003526768,0.7708325],"genre_scores_gemma":[0.01474514,0.0023527,0.003615578,0.0110949,0.02312013,0.0001997034,0.003473935,0.002330385,0.9390676],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3847172,"threshold_uncertainty_score":0.8776263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005252401489048243,"score_gpt":0.2074739284040163,"score_spread":0.202221526914968,"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."}}