{"id":"W2915333806","doi":"10.2118/0713-0090-jpt","title":"Technology Focus: Artificial Lift (July 2013)","year":2013,"lang":"en","type":"article","venue":"Journal of Petroleum Technology","topic":"Elevator Systems and Control","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"ConocoPhillips (Canada)","funders":"","keywords":"Artificial lift; Lift (data mining); Vendor; Computer science; Engineering management; Engineering; Artificial intelligence; Marketing; Business","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":[0.001509925,0.0009575671,0.0004041514,0.002353197,0.002007036,0.007192531,0.001086466,0.004095067,0.3290358],"category_scores_gemma":[0.002859578,0.0004288776,0.0005407667,0.002114372,0.0006575653,0.004219737,0.002768516,0.002974149,0.2048745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003157038,"about_ca_system_score_gemma":0.004490867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007319434,"about_ca_topic_score_gemma":0.02240807,"domain_scores_codex":[0.9987301,0.00007184189,0.00004254884,0.0001216186,0.0008338842,0.0002000034],"domain_scores_gemma":[0.9977417,0.0002263507,0.0001049673,0.000111824,0.001156938,0.0006581515],"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":[0.00002343426,0.000024418,0.0001224817,0.0001191837,0.000001663221,0.00005518527,0.00002679766,0.00004639564,0.0004586229,0.002012669,0.9679612,0.02914808],"study_design_scores_gemma":[0.000003859364,0.00001439179,0.0007729019,0.000120893,0.000001543718,0.00004628767,0.00004172823,0.00003560341,0.0001851,0.0005554565,0.9982161,0.000006098536],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001666301,0.01760655,0.001855655,0.03627981,0.04038089,0.0002443305,0.004108204,0.00153212,0.8963261],"genre_scores_gemma":[0.004535408,0.009036736,0.0004599621,0.008839307,0.007062358,0.0001117609,0.002228473,0.0005371808,0.9671889],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3290358,"threshold_uncertainty_score":0.957049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003919868327203628,"score_gpt":0.183887540701159,"score_spread":0.1799676723739553,"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."}}